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Bing Qin 0001

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affiliation: Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
affiliation (PhD 2005): Harbin Institute of Technology, Department of Computer Science, China

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2020 – today

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2025
[j63]
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Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin:
Exploring & exploiting high-order graph structure for sparse knowledge graph completion. Frontiers Comput. Sci. 19(2): 192306 (2025)
[j62]
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Zihan Zhang, Xiao Ding, Xia Liang, Yusheng Zhou, Bing Qin, Ting Liu:
Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 37(4): 1650-1671 (2025)
[c211]
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  - conf/aaai/YuFLLYFZCHWTT025
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Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin:
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. AAAI 2025: 9680-9688
[c210]
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  - conf/aaai/DuZM0025
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Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin:
Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. AAAI 2025: 23823-23831
[c209]
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Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin:
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. AAAI 2025: 24032-24040
[c208]
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  - conf/aaai/HuoFHFLYZTTLW025
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Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin:
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning. AAAI 2025: 24185-24193
[c207]
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  - conf/coling/ChuCWTCL025
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Zheng Chu, Jingchang Chen, Zhongjie Wang, Guo Tang, Qianglong Chen, Ming Liu, Bing Qin:
Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation. COLING 2025: 2291-2315
[c206]
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Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Xiachong Feng, Bing Qin:
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis. COLING 2025: 5345-5363
[c205]
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Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
LLMs May Perform MCQA by Selecting the Least Incorrect Option. COLING 2025: 5852-5862
[c204]
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  - conf/coling/YuanLWQ25
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Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. COLING 2025: 7925-7948
[c203]
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Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin:
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. COLING 2025: 9311-9328
[i168]
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  - journals/corr/abs-2501-09766
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Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Wu Ning, Yutai Hou, Xu Huang, Bing Qin, Ting Liu:
Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. CoRR abs/2501.09766 (2025)
[i167]
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  - journals/corr/abs-2501-13573
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Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin:
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization. CoRR abs/2501.13573 (2025)
[i166]
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  - journals/corr/abs-2502-11062
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Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu:
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. CoRR abs/2502.11062 (2025)
[i165]
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  - journals/corr/abs-2502-11491
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Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin:
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. CoRR abs/2502.11491 (2025)
[i164]
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  - journals/corr/abs-2502-14192
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Jiayin Lan, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin:
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM. CoRR abs/2502.14192 (2025)
[i163]
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  - journals/corr/abs-2502-17099
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Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma:
Improved Diffusion-based Generative Model with Better Adversarial Robustness. CoRR abs/2502.17099 (2025)
[i162]
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  - journals/corr/abs-2502-18540
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Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications. CoRR abs/2502.18540 (2025)
[i161]
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  - journals/corr/abs-2502-20968
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Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. CoRR abs/2502.20968 (2025)
[i160]
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  - journals/corr/abs-2503-01275
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Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin:
Enhancing Non-English Capabilities of English-Centric Large Language Models through Deep Supervision Fine-Tuning. CoRR abs/2503.01275 (2025)
[i159]
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  - journals/corr/abs-2503-01424
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Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin:
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems. CoRR abs/2503.01424 (2025)
[i158]
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  - journals/corr/abs-2503-05362
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Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu:
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter. CoRR abs/2503.05362 (2025)
[i157]
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  - journals/corr/abs-2503-17979
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Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Tat-Seng Chua, Ting Liu:
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities. CoRR abs/2503.17979 (2025)
2024
[j61]
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  - journals/datamine/He00QZ024
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Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM²L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38(2): 343-371 (2024)
[j60]
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  - journals/ijautcomp/ChenDZFLQL24
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Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu:
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? Mach. Intell. Res. 21(2): 283-293 (2024)
[j59]
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  - journals/ijon/CaiW0024
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Chenran Cai, Qianlong Wang, Bing Qin, Ruifeng Xu:
A multi-task framework based on decomposition for multimodal named entity recognition. Neurocomputing 604: 128388 (2024)
[j58]
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  - journals/kais/WuDDQL24
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Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Reasoning subevent relation over heterogeneous event graph. Knowl. Inf. Syst. 66(9): 5311-5333 (2024)
[j57]
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  - journals/kbs/GaoDLLQ24
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Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Event Causality Identification via Competitive-Cooperative Cognition Networks. Knowl. Based Syst. 300: 112139 (2024)
[j56]
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  - journals/mlc/FengTFZLWQCS24
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Zhangyin Feng, Duyu Tang, Xiaocheng Feng, Cong Zhou, Junwei Liao, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without wordpieces: learning over a vocabulary of millions of words. Int. J. Mach. Learn. Cybern. 15(9): 3989-3998 (2024)
[j55]
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  - journals/mta/YangSZLWQ24
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Hao Yang, Zhengming Si, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin:
MACSA: A multimodal aspect-category sentiment analysis dataset with multimodal fine-grained aligned annotations. Multim. Tools Appl. 83(34): 81279-81297 (2024)
[j54]
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  - journals/nn/WuDZTQL24
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Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu:
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks 176: 106383 (2024)
[j53]
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  - journals/taffco/WangXWLYQX24
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Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 15(3): 1264-1278 (2024)
[j52]
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  - journals/taslp/FengFDKQ24
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Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3694-3708 (2024)
[j51]
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  - journals/tmm/WuDZGTDQL24
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Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26: 1957-1968 (2024)
[c202]
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  - conf/aaai/GuoZWD024
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Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. AAAI 2024: 18144-18152
[c201]
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  - conf/aaai/WangZLXC0024
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Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. AAAI 2024: 19126-19134
[c200]
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Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. AAAI 2024: 21958-21966
[c199]
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  - conf/acl/0025FDGY0CCC024
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Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. ACL (1) 2024: 1044-1069
[c198]
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) 2024: 1173-1203
[c197]
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. ACL (1) 2024: 1204-1228
[c196]
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Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. ACL (1) 2024: 1229-1248
[c195]
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Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. ACL (Findings) 2024: 3879-3890
[c194]
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Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. ACL (1) 2024: 4768-4791
[c193]
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Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. ACL (1) 2024: 6385-6432
[c192]
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Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu:
AS-ES Learning: Towards efficient CoT learning in small models. ACL (Findings) 2024: 10686-10697
[c191]
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Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. ACL (Findings) 2024: 11157-11176
[c190]
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Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. ACL (1) 2024: 11641-11661
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Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. ACL (1) 2024: 11991-12011
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Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. ACL (Findings) 2024: 12305-12322
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Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. ACL (Findings) 2024: 14095-14113
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Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. ACL (1) 2024: 14455-14469
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Bichen Wang, Yixin Sun, Yuzhe Zi, Yanyan Zhao, Bing Qin:
Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media. BIBM 2024: 2651-2658
[c184]
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Yanrui Du, Sendong Zhao, Muzhen Cai, Ming Ma, Danyang Zhao, Jiawei Cao, Bing Qin:
Probing the Dual Logic Ability of Privatized Medical-Domain LLMs. BIBM 2024: 3182-3187
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Zijian Li, Sendong Zhao, Haochun Wang, Haoming Xu, Bing Qin, Ting Liu:
CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark. BIBM 2024: 3402-3407
[c182]
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Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. LREC/COLING 2024: 4498-4508
[c181]
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Bichen Wang, Yuzhe Zi, Yanyan Zhao, Pengfei Deng, Bing Qin:
ESDM: Early Sensing Depression Model in Social Media Streams. LREC/COLING 2024: 6288-6298
[c180]
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Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin:
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation. LREC/COLING 2024: 7901-7912
[c179]
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Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. LREC/COLING 2024: 14215-14226
[c178]
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Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin:
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING 2024: 14937-14953
[c177]
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Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. LREC/COLING 2024: 16527-16538
[c176]
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Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin:
BC-Prover: Backward Chaining Prover for Formal Theorem Proving. EMNLP 2024: 3059-3077
[c175]
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Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Advancing Large Language Model Attribution through Self-Improving. EMNLP 2024: 3822-3836
[c174]
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Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. EMNLP 2024: 5028-5041
[c173]
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Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. EMNLP (Findings) 2024: 6074-6091
[c172]
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Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. EMNLP 2024: 7288-7301
[c171]
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Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin:
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis. EMNLP (Findings) 2024: 7904-7928
[c170]
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Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin:
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models. EMNLP (Findings) 2024: 8573-8591
[c169]
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Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. EMNLP (Findings) 2024: 9959-9977
[c168]
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Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. EMNLP 2024: 10803-10821
[c167]
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Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. ICASSP 2024: 11576-11580
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Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. ICASSP 2024: 11661-11665
[c165]
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Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin:
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction. ICASSP 2024: 12647-12651
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Bichen Wang, Pengfei Deng, Song Chen, Yanyan Zhao, Bing Qin:
Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media. ICWSM 2024: 1599-1610
[c163]
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Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. IJCAI 2024: 1065-1073
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Shixin Jiang, Ming Liu, Bing Qin:
Fusion Pruning for Large Language Models. ISCSLP 2024: 349-352
[c161]
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Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. NeurIPS 2024
[c160]
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Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin:
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. NeurIPS 2024
[c159]
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Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin:
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability. NeurIPS 2024
[c158]
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Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin:
Discrete Modeling via Boundary Conditional Diffusion Processes. NeurIPS 2024
[c157]
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Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin:
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. NeurIPS 2024
[c156]
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Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu:
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers. NeurIPS 2024
[c155]
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Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. NLPCC (4) 2024: 67-80
[c154]
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Baohang Li, Zekai Ye, Yichong Huang, Xiaocheng Feng, Bing Qin:
SCIR-MT's Submission for WMT24 General Machine Translation Task. WMT 2024: 280-285
[i156]
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  - journals/corr/abs-2401-05072
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Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. CoRR abs/2401.05072 (2024)
[i155]
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  - journals/corr/abs-2401-08295
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Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. CoRR abs/2401.08295 (2024)
[i154]
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  - journals/corr/abs-2401-08438
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Yaojia Lv, Haojie Pan, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. CoRR abs/2401.08438 (2024)
[i153]
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  - journals/corr/abs-2401-11403
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Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. CoRR abs/2401.11403 (2024)
[i152]
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  - journals/corr/abs-2401-16107
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Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. CoRR abs/2401.16107 (2024)
[i151]
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  - journals/corr/abs-2402-01349
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Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu:
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. CoRR abs/2402.01349 (2024)
[i150]
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  - journals/corr/abs-2402-10073
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Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. CoRR abs/2402.10073 (2024)
[i149]
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  - journals/corr/abs-2402-11537
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Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin:
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. CoRR abs/2402.11537 (2024)
[i148]
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  - journals/corr/abs-2403-01969
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Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu:
AS-ES Learning: Towards Efficient CoT Learning in Small Models. CoRR abs/2403.01969 (2024)
[i147]
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  - journals/corr/abs-2403-01994
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Xin Lu, Yanyan Zhao, Bing Qin:
Vanilla Transformers are Transfer Capability Teachers. CoRR abs/2403.01994 (2024)
[i146]
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  - journals/corr/abs-2403-02436
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Xin Lu, Yanyan Zhao, Bing Qin:
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models. CoRR abs/2403.02436 (2024)
[i145]
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  - journals/corr/abs-2403-08377
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Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. CoRR abs/2403.08377 (2024)
[i144]
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Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024)
[i143]
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  - journals/corr/abs-2403-16662
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Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. CoRR abs/2403.16662 (2024)
[i142]
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  - journals/corr/abs-2404-01677
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Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. CoRR abs/2404.01677 (2024)
[i141]
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  - journals/corr/abs-2404-12715
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Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu:
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR abs/2404.12715 (2024)
[i140]
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  - journals/corr/abs-2405-02933
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Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bing Qin, Ting Liu:
Relay Decoding: Concatenating Large Language Models for Machine Translation. CoRR abs/2405.02933 (2024)
[i139]
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Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua:
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR abs/2405.13820 (2024)
[i138]
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  - journals/corr/abs-2405-14488
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Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin:
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. CoRR abs/2405.14488 (2024)
[i137]
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  - journals/corr/abs-2405-20092
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Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin:
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. CoRR abs/2405.20092 (2024)
[i136]
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  - journals/corr/abs-2406-01549
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Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. CoRR abs/2406.01549 (2024)
[i135]
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  - journals/corr/abs-2406-01983
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Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin:
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models. CoRR abs/2406.01983 (2024)
[i134]
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Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. CoRR abs/2406.02911 (2024)
[i133]
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Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. CoRR abs/2406.05374 (2024)
[i132]
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  - journals/corr/abs-2406-08068
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Hao Yang, Yanyan Zhao, Yang Wu, Shilong Wang, Tian Zheng, Hongbo Zhang, Wanxiang Che, Bing Qin:
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey. CoRR abs/2406.08068 (2024)
[i131]
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  - journals/corr/abs-2406-15796
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Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Bing Qin:
Rethinking Entity-level Unlearning for Large Language Models. CoRR abs/2406.15796 (2024)
[i130]
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Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu:
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR abs/2406.18020 (2024)
[i129]
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Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. CoRR abs/2406.18227 (2024)
[i128]
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  - journals/corr/abs-2406-19820
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Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. CoRR abs/2406.19820 (2024)
[i127]
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  - journals/corr/abs-2407-00569
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Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. CoRR abs/2407.00569 (2024)
[i126]
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  - journals/corr/abs-2407-02936
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Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. CoRR abs/2407.02936 (2024)
[i125]
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  - journals/corr/abs-2407-08937
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Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. CoRR abs/2407.08937 (2024)
[i124]
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  - journals/corr/abs-2408-03079
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Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. CoRR abs/2408.03079 (2024)
[i123]
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  - journals/corr/abs-2408-04568
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Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. CoRR abs/2408.04568 (2024)
[i122]
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  - journals/corr/abs-2408-11431
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Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao:
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. CoRR abs/2408.11431 (2024)
[i121]
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  - journals/corr/abs-2408-12942
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Li Du, Zhouhao Sun, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. CoRR abs/2408.12942 (2024)
[i120]
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  - journals/corr/abs-2409-13199
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Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin:
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. CoRR abs/2409.13199 (2024)
[i119]
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  - journals/corr/abs-2409-15820
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Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads. CoRR abs/2409.15820 (2024)
[i118]
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  - journals/corr/abs-2409-19510
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Yexing Du, Ziyang Ma, Yifan Yang, Keqi Deng, Xie Chen, Bo Yang, Yang Xiang, Ming Liu, Bing Qin:
CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought. CoRR abs/2409.19510 (2024)
[i117]
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  - journals/corr/abs-2410-01490
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Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. CoRR abs/2410.01490 (2024)
[i116]
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  - journals/corr/abs-2410-04087
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Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. CoRR abs/2410.04087 (2024)
[i115]
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  - journals/corr/abs-2410-04407
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Weixiang Zhao, Yulin Hu, Jiahe Guo, Xingyu Sui, Tongtong Wu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Lens: Rethinking Multilingual Enhancement for Large Language Models. CoRR abs/2410.04407 (2024)
[i114]
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  - journals/corr/abs-2410-04524
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Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, Bing Qin:
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. CoRR abs/2410.04524 (2024)
[i113]
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  - journals/corr/abs-2410-13298
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Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Advancing Large Language Model Attribution through Self-Improving. CoRR abs/2410.13298 (2024)
[i112]
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  - journals/corr/abs-2410-22380
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Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin:
Discrete Modeling via Boundary Conditional Diffusion Processes. CoRR abs/2410.22380 (2024)
[i111]
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  - journals/corr/abs-2412-01249
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Hao Yang, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis. CoRR abs/2412.01249 (2024)
[i110]
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  - journals/corr/abs-2412-11041
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Di Wu, Xin Lu, Yanyan Zhao, Bing Qin:
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models. CoRR abs/2412.11041 (2024)
[i109]
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  - journals/corr/abs-2412-11694
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Shixin Jiang, Jiafeng Liang, Ming Liu, Bing Qin:
From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality. CoRR abs/2412.11694 (2024)
[i108]
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  - journals/corr/abs-2412-12686
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Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Libo Qin, Yichong Huang, Lei Huang, Weitao Ma, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin:
XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation. CoRR abs/2412.12686 (2024)
[i107]
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  - journals/corr/abs-2412-14584
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Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin:
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. CoRR abs/2412.14584 (2024)
[i106]
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  - journals/corr/abs-2412-14656
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Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin:
Length Controlled Generation for Black-box LLMs. CoRR abs/2412.14656 (2024)
[i105]
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  - journals/corr/abs-2412-17787
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Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Dandan Tu, Duyu Tang, Bing Qin:
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. CoRR abs/2412.17787 (2024)
[i104]
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  - journals/corr/abs-2412-18139
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Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Zhirui Zhang, Yunfei Lu, Dandan Tu, Duyu Tang, Hui Wang, Bing Qin, Ting Liu:
Ensuring Consistency for In-Image Translation. CoRR abs/2412.18139 (2024)
2023
[j50]
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  - journals/cogsr/LiLWZQ23
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Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin:
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network. Cogn. Syst. Res. 79: 15-23 (2023)
[j49]
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  - journals/mlc/WangZLQ23
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Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin:
TAGNet: a tiny answer-guided network for conversational question generation. Int. J. Mach. Learn. Cybern. 14(5): 1921-1932 (2023)
[c153]
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  - conf/aaai/ZhongZTLGF023
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Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. AAAI 2023: 3715-3723
[c152]
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  - conf/aaai/CaiDS00WS23
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Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI 2023: 12580-12588
[c151]
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  - conf/aaai/ZhaoZL023
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Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. AAAI 2023: 14020-14028
[c150]
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  - conf/acl/DuDS00L23
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Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu:
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) 2023: 2868-2882
[c149]
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Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. ACL (1) 2023: 3802-3818
[c148]
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Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) 2023: 4856-4873
[c147]
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Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. ACL (Findings) 2023: 4939-4955
[c146]
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Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin:
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. ACL (Findings) 2023: 6725-6739
[c145]
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Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu:
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. ACL (Findings) 2023: 9633-9651
[c144]
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Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. ACL (1) 2023: 12590-12616
[c143]
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Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. ACL (Findings) 2023: 12630-12641
[c142]
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Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) 2023: 13277-13291
[c141]
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Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. ACL (Findings) 2023: 13331-13344
[c140]
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Wenjia Yi, Yanyan Zhao, Jianhua Yuan, Weixiang Zhao, Bing Qin:
Improving Affective Event Classification with Multi-perspective Knowledge Injection. CCL 2023: 400-416
[c139]
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Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. EMNLP (Findings) 2023: 1101-1112
[c138]
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Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu:
In-context Learning for Few-shot Multimodal Named Entity Recognition. EMNLP (Findings) 2023: 2969-2979
[c137]
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Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. EMNLP (Findings) 2023: 6790-6804
[c136]
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  - conf/emnlp/XiongD00023
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Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) 2023: 7572-7590
[c135]
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Bichen Wang, Pengfei Deng, Yanyan Zhao, Bing Qin:
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health. EMNLP (Findings) 2023: 10149-10160
[c134]
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Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. EMNLP (Findings) 2023: 11111-11126
[c133]
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  - conf/emnlp/TuL0WX23
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Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu:
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. EMNLP (Findings) 2023: 12160-12173
[c132]
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Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu:
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. EMNLP (Findings) 2023: 12608-12618
[c131]
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Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP 2023: 14855-14870
[c130]
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Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. EMNLP (Findings) 2023: 15218-15233
[c129]
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  - conf/icassp/HuangFYZFQL23
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Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu:
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. ICASSP 2023: 1-2
[c128]
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Xin Lu, Weixiang Zhao, Yanyan Zhao, Bing Qin, Zhentao Zhang, Junjie Wen:
A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations. ICASSP 2023: 1-5
[c127]
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Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. IJCAI 2023: 1177-1185
[c126]
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Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. IJCAI 2023: 5039-5048
[c125]
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  - conf/nlpcc/CaiZXQ23
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Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling. NLPCC (3) 2023: 149-161
[c124]
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Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling. NLPCC (3) 2023: 399-411
[c123]
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  - conf/nlpcc/LiuWXZQ23
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Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning. NLPCC (1) 2023: 657-668
[c122]
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  - conf/prcv/WuPZZQ23
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Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition. PRCV (7) 2023: 396-408
[c121]
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  - conf/wassa/LuLTZQ23
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Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, Bing Qin:
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level. WASSA@ACL 2023: 574-580
[c120]
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Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. WSDM 2023: 832-840
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Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han, Gaoqi Rao, Yubo Chen:
Chinese Computational Linguistics - 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023, Proceedings. Lecture Notes in Computer Science 14232, Springer 2023, ISBN 978-981-99-6206-8 [contents]
[i103]
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  - journals/corr/abs-2301-09237
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Xiachong Feng, Xiaocheng Feng, Bing Qin:
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. CoRR abs/2301.09237 (2023)
[i102]
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  - journals/corr/abs-2302-09736
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Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. CoRR abs/2302.09736 (2023)
[i101]
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  - journals/corr/abs-2304-03512
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Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. CoRR abs/2304.03512 (2023)
[i100]
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  - journals/corr/abs-2304-05642
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Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt. CoRR abs/2304.05642 (2023)
[i99]
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  - journals/corr/abs-2304-06975
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Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu:
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. CoRR abs/2304.06975 (2023)
[i98]
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  - journals/corr/abs-2304-09582
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Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, Bing Qin:
Is ChatGPT Equipped with Emotional Dialogue Capabilities? CoRR abs/2304.09582 (2023)
[i97]
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  - journals/corr/abs-2305-01253
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Xiachong Feng, Xiaocheng Feng, Bing Qin:
The Role of Summarization in Generative Agents: A Preliminary Perspective. CoRR abs/2305.01253 (2023)
[i96]
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  - journals/corr/abs-2305-03296
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Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin:
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. CoRR abs/2305.03296 (2023)
[i95]
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  - journals/corr/abs-2305-04429
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Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong:
Improving Cross-Task Generalization with Step-by-Step Instructions. CoRR abs/2305.04429 (2023)
[i94]
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  - journals/corr/abs-2305-07375
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Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. CoRR abs/2305.07375 (2023)
[i93]
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  - journals/corr/abs-2305-10709
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Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. CoRR abs/2305.10709 (2023)
[i92]
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  - journals/corr/abs-2305-11595
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Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR abs/2305.11595 (2023)
[i91]
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  - journals/corr/abs-2305-13697
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Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin:
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. CoRR abs/2305.13697 (2023)
[i90]
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  - journals/corr/abs-2305-15033
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Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin:
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. CoRR abs/2305.15033 (2023)
[i89]
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  - journals/corr/abs-2305-15718
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Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. CoRR abs/2305.15718 (2023)
[i88]
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  - journals/corr/abs-2305-16811
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Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. CoRR abs/2305.16811 (2023)
[i87]
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  - journals/corr/abs-2305-17458
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Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. CoRR abs/2305.17458 (2023)
[i86]
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  - journals/corr/abs-2306-16176
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Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. CoRR abs/2306.16176 (2023)
[i85]
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  - journals/corr/abs-2306-17034
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Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin:
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. CoRR abs/2306.17034 (2023)
[i84]
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  - journals/corr/abs-2307-05355
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Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. CoRR abs/2307.05355 (2023)
[i83]
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Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization. CoRR abs/2308.03275 (2023)
[i82]
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Yanrui Du, Sendong Zhao, Yuhan Chen, Rai Bai, Jing Liu, Hua Wu, Haifeng Wang, Bing Qin:
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue. CoRR abs/2309.04162 (2023)
[i81]
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  - journals/corr/abs-2309-04174
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Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification. CoRR abs/2309.04174 (2023)
[i80]
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  - journals/corr/abs-2309-04175
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Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu:
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR abs/2309.04175 (2023)
[i79]
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  - journals/corr/abs-2309-04198
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Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin:
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature. CoRR abs/2309.04198 (2023)
[i78]
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  - journals/corr/abs-2309-05203
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Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. CoRR abs/2309.05203 (2023)
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. CoRR abs/2309.15402 (2023)
[i76]
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  - journals/corr/abs-2310-05149
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Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. CoRR abs/2310.05149 (2023)
[i75]
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  - journals/corr/abs-2310-13610
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Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. CoRR abs/2310.13610 (2023)
[i74]
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  - journals/corr/abs-2310-16534
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Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, Bing Qin:
An Early Evaluation of GPT-4V(ision). CoRR abs/2310.16534 (2023)
[i73]
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  - journals/corr/abs-2311-04816
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Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. CoRR abs/2311.04816 (2023)
[i72]
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  - journals/corr/abs-2311-05232
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Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. CoRR abs/2311.05232 (2023)
[i71]
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  - journals/corr/abs-2311-05876
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Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. CoRR abs/2311.05876 (2023)
[i70]
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  - journals/corr/abs-2311-17667
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. CoRR abs/2311.17667 (2023)
[i69]
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  - journals/corr/abs-2312-04127
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Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin:
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak. CoRR abs/2312.04127 (2023)
[i68]
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Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia Lv, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models. CoRR abs/2312.04889 (2023)
[i67]
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  - journals/corr/abs-2312-14988
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Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi:
Emage: Non-Autoregressive Text-to-Image Generation. CoRR abs/2312.14988 (2023)
[i66]
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Liang Zhao, Xiaocheng Feng, Xiachong Feng, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding. CoRR abs/2312.17044 (2023)
2022
[j48]
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Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang:
Biomedical evidence engineering for data-driven discovery. Bioinform. 38(23): 5270-5278 (2022)
[j47]
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Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022)
[j46]
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  - journals/kbs/DuDXLQ22
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Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254: 109488 (2022)
[j45]
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  - journals/mlc/GengWWYFQT22
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Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu:
Learning to refine source representations for neural machine translation. Int. J. Mach. Learn. Cybern. 13(8): 2199-2212 (2022)
[j44]
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Jianhua Yuan, Yanyan Zhao, Bing Qin:
Learning to share by masking the non-shared for multi-domain sentiment classification. Int. J. Mach. Learn. Cybern. 13(9): 2711-2724 (2022)
[j43]
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  - journals/talip/CuiCYLQWH22
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Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Interactive Gated Decoder for Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 72:1-72:19 (2022)
[j42]
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Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2357-2367 (2022)
[j41]
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Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022)
[c119]
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  - conf/acl/DuDX0022
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Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) 2022: 432-446
[c118]
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  - conf/acl/WuZYC0CZ22
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Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. ACL (Findings) 2022: 1397-1406
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Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638
[c116]
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  - conf/acl/GuFMWG022
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Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin:
Improving Controllable Text Generation with Position-Aware Weighted Decoding. ACL (Findings) 2022: 3449-3467
[c115]
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  - conf/acl-dialdoc/FengFQ22
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Xiachong Feng, Xiaocheng Feng, Bing Qin:
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. DialDoc@ACL 2022: 1-12
[c114]
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  - conf/ccks/ZengDD0022
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Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin:
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. CCKS 2022: 111-122
[c113]
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  - conf/coling/WangLXZJZZ00022
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Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431
[c112]
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Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu:
CogBERT: Cognition-Guided Pre-trained Language Models. COLING 2022: 3210-3225
[c111]
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Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin:
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection. COLING 2022: 6846-6858
[c110]
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Weixiang Zhao, Yanyan Zhao, Bing Qin:
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations. COLING 2022: 7020-7030
[c109]
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  - conf/emnlp/GuFMZG022
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Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
A Distributional Lens for Multi-Aspect Controllable Text Generation. EMNLP 2022: 1023-1043
[c108]
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  - conf/emnlp/LuoFZJ0X22
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Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu:
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. EMNLP (Findings) 2022: 3200-3213
[c107]
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Hao Yang, Yanyan Zhao, Bing Qin:
Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis. EMNLP 2022: 3324-3335
[c106]
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Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022: 6426-6438
[c105]
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  - conf/emnlp/HuangFG022
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Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
Unifying the Convergences in Multilingual Neural Machine Translation. EMNLP 2022: 6822-6835
[c104]
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  - conf/emnlp/WuDTZ0022
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Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. EMNLP 2022: 7587-7598
[c103]
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  - conf/emnlp/WangWZL0W22
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Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. EMNLP 2022: 8901-8913
[c102]
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  - conf/emnlp/BaoHSLD0YX22
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Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang, Ruifeng Xu:
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. EMNLP 2022: 10437-10449
[c101]
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  - conf/ijcai/FengF022
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Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. IJCAI 2022: 5453-5460
[c100]
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  - conf/mm/WuZPZ022
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Yang Wu, Zhenyu Zhang, Pai Peng, Yanyan Zhao, Bing Qin:
Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition. MuSe @ ACM Multimedia 2022: 101-109
[c99]
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  - conf/sigir/WangWL0W0X22
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Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu:
Masking and Generation: An Unsupervised Method for Sarcasm Detection. SIGIR 2022: 2172-2177
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  - conf/ccks/2021e
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Bing Qin, Haofen Wang, Ming Liu, Jiangtao Zhang:
CCKS 2021 - Evaluation Track - 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers. Communications in Computer and Information Science 1553, Springer 2022, ISBN 978-981-19-0712-8 [contents]
[i65]
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  - journals/corr/abs-2202-12142
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Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words. CoRR abs/2202.12142 (2022)
[i64]
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  - journals/corr/abs-2203-00257
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Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. CoRR abs/2203.00257 (2022)
[i63]
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  - journals/corr/abs-2205-01620
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Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. CoRR abs/2205.01620 (2022)
[i62]
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  - journals/corr/abs-2205-05849
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Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR abs/2205.05849 (2022)
[i61]
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  - journals/corr/abs-2205-10822
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Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022)
[i60]
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  - journals/corr/abs-2205-12593
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Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. CoRR abs/2205.12593 (2022)
[i59]
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  - journals/corr/abs-2206-13969
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Hao Yang, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin:
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations. CoRR abs/2206.13969 (2022)
[i58]
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  - journals/corr/abs-2207-01528
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Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin:
VEM²L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. CoRR abs/2207.01528 (2022)
[i57]
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Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. CoRR abs/2207.13005 (2022)
[i56]
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  - journals/corr/abs-2208-09884
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Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. CoRR abs/2208.09884 (2022)
[i55]
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  - journals/corr/abs-2208-14509
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Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? CoRR abs/2208.14509 (2022)
[i54]
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  - journals/corr/abs-2209-02276
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Pengfei Deng, Jianhua Yuan, Yanyan Zhao, Bing Qin:
Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition. CoRR abs/2209.02276 (2022)
[i53]
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  - journals/corr/abs-2209-06453
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Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR abs/2209.06453 (2022)
[i52]
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  - journals/corr/abs-2209-09768
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Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition. CoRR abs/2209.09768 (2022)
[i51]
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  - journals/corr/abs-2210-02889
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Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
A Distributional Lens for Multi-Aspect Controllable Text Generation. CoRR abs/2210.02889 (2022)
[i50]
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  - journals/corr/abs-2210-03884
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Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. CoRR abs/2210.03884 (2022)
[i49]
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  - journals/corr/abs-2211-00732
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Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin:
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia. CoRR abs/2211.00732 (2022)
[i48]
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  - journals/corr/abs-2211-03612
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Ming Liu, Yaojia Lv, Jingrun Zhang, Ruiji Fu, Bing Qin:
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations. CoRR abs/2211.03612 (2022)
[i47]
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  - journals/corr/abs-2212-02995
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Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. CoRR abs/2212.02995 (2022)
[i46]
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  - journals/corr/abs-2212-08307
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Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. CoRR abs/2212.08307 (2022)
[i45]
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Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. CoRR abs/2212.08322 (2022)
[i44]
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  - journals/corr/abs-2212-10392
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Jianhua Yuan, Yanyan Zhao, Bing Qin:
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning. CoRR abs/2212.10392 (2022)
2021
[j40]
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Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021)
[j39]
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  - journals/chinaf/DingSDQL21
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Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu:
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. Sci. China Inf. Sci. 64(9) (2021)
[j38]
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Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021)
[j37]
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Yang Wu, Yanyan Zhao, Xin Lu, Bing Qin, Yin Wu, Jian Sheng, Jinlong Li:
Modeling Incongruity between Modalities for Multimodal Sarcasm Detection. IEEE Multim. 28(2): 86-95 (2021)
[j36]
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Xiaocheng Feng, Heng Gong, Yuyu Chen, Yawei Sun, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning number reasoning for numerical table-to-text generation. Int. J. Mach. Learn. Cybern. 12(8): 2269-2280 (2021)
[j35]
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Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang:
Pre-Training With Whole Word Masking for Chinese BERT. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3504-3514 (2021)
[j34]
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Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021)
[c98]
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  - conf/acl/FengFQ0020
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Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. ACL/IJCNLP (1) 2021: 1479-1491
[c97]
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Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363
[c96]
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  - conf/acl/WuLZQZ21
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Yang Wu, Zijie Lin, Yanyan Zhao, Bing Qin, Li-Nan Zhu:
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 4730-4738
[c95]
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Li Du, Xiao Ding, Ting Liu, Bing Qin:
Learning Event Graph Knowledge for Abductive Reasoning. ACL/IJCNLP (1) 2021: 5181-5190
[c94]
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  - conf/ccks/ZhangYZ021
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Xin Zhang, Jianhua Yuan, Yanyan Zhao, Bing Qin:
Knowledge Enhanced Target-Aware Stance Detection on Tweets. CCKS 2021: 171-184
[c93]
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  - conf/cikm/SunHYFW0021
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Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CIKM 2021: 4135-4144
[c92]
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Xiachong Feng, Xiaocheng Feng, Bing Qin:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CCL 2021: 127-142
[c91]
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  - conf/emnlp/ZhuWZLZ021
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Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin:
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. EMNLP (Findings) 2021: 1102-1113
[c90]
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  - conf/emnlp/LuTZ021
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Xin Lu, Yijian Tian, Yanyan Zhao, Bing Qin:
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots. EMNLP (Findings) 2021: 1956-1969
[c89]
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Xinwei Geng, Xiaocheng Feng, Bing Qin:
Learning to Rewrite for Non-Autoregressive Neural Machine Translation. EMNLP (1) 2021: 3297-3308
[c88]
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  - conf/emnlp/ShiDD0021
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Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Neural Natural Logic Inference for Interpretable Question Answering. EMNLP (1) 2021: 3673-3684
[c87]
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Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng:
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. IJCAI 2021: 3808-3814
[c86]
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  - conf/ijcnn/LiLZZQKL21
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Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021: 1-8
[c85]
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Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification. NLPCC (2) 2021: 260-271
[c84]
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  - conf/nlpcc/WuZZQ21
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Yang Wu, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis. NLPCC (1) 2021: 595-606
[e2]
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  - conf/ccks/2021
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Bing Qin, Zhi Jin, Haofen Wang, Jeff Z. Pan, Yongbin Liu, Bo An:
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction - 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings. Communications in Computer and Information Science 1466, Springer 2021, ISBN 978-981-16-6470-0 [contents]
[i43]
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  - journals/corr/abs-2104-08480
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Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu:
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. CoRR abs/2104.08480 (2021)
[i42]
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  - journals/corr/abs-2104-12377
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Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. CoRR abs/2104.12377 (2021)
[i41]
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  - journals/corr/abs-2104-14839
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Yi-Chong Huang, Xia-Chong Feng, Xiao-Cheng Feng, Bing Qin:
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. CoRR abs/2104.14839 (2021)
[i40]
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  - journals/corr/abs-2105-12544
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Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. CoRR abs/2105.12544 (2021)
[i39]
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  - journals/corr/abs-2107-03175
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Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. CoRR abs/2107.03175 (2021)
[i38]
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  - journals/corr/abs-2107-09852
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Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin:
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. CoRR abs/2107.09852 (2021)
[i37]
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  - journals/corr/abs-2108-09104
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Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CoRR abs/2108.09104 (2021)
[i36]
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  - journals/corr/abs-2112-08723
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Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. CoRR abs/2112.08723 (2021)
2020
[j33]
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Lydia Lazib, Bing Qin, Yanyan Zhao, Weinan Zhang, Ting Liu:
A syntactic path-based hybrid neural network for negation scope detection. Frontiers Comput. Sci. 14(1): 84-94 (2020)
[j32]
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Xiaocheng Feng, Zhangyin Feng, Wanlong Zhao, Bing Qin, Ting Liu:
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences. Mob. Networks Appl. 25(5): 1722-1728 (2020)
[j31]
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  - journals/talip/LiuCWZ0020
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Yijia Liu, Wanxiang Che, Yuxuan Wang, Bo Zheng, Bing Qin, Ting Liu:
Deep Contextualized Word Embeddings for Universal Dependency Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 9:1-9:17 (2020)
[j30]
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Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. 28: 813-824 (2020)
[j29]
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Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020)
[c83]
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Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. AAAI 2020: 7716-7723
[c82]
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Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020: 8960-8967
[c81]
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Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995
[c80]
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Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM 2020: 275-280
[c79]
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  - conf/coling/GongSFQBLL20
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Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING 2020: 1978-1988
[c78]
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Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING 2020: 2642-2652
[c77]
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Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin:
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations. COLING 2020: 4078-4088
[c76]
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  - conf/emnlp/CuiC000H20
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Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. EMNLP (Findings) 2020: 657-668
[c75]
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Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547
[c74]
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Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu:
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. EMNLP (Findings) 2020: 2905-2914
[c73]
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Ming Liu, Zihao Zheng, Bing Qin, Yitong Liu:
A Passage-Level Text Similarity Calculation. NLPCC (1) 2020: 207-218
[c72]
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  - conf/nlpcc/HuLWXQL20
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Zhenyu Hu, Ming Liu, Yin Wu, Jiexin Xu, Bing Qin, Jinlong Li:
Document-Level Event Subject Pair Recognition. NLPCC (1) 2020: 283-293
[c71]
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  - conf/semeval/DingHZLLQL20
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Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu:
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. SemEval@COLING 2020: 354-360
[i35]
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  - journals/corr/abs-2002-08155
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Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020)
[i34]
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Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. CoRR abs/2002.10210 (2020)
[i33]
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  - journals/corr/abs-2004-05080
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Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR abs/2004.05080 (2020)
[i32]
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  - journals/corr/abs-2004-13922
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Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. CoRR abs/2004.13922 (2020)
[i31]
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  - journals/corr/abs-2005-00979
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Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? CoRR abs/2005.00979 (2020)
[i30]
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  - journals/corr/abs-2006-09610
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Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. CoRR abs/2006.09610 (2020)
[i29]
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  - journals/corr/abs-2010-10044
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Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CoRR abs/2010.10044 (2020)
[i28]
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  - journals/corr/abs-2012-01031
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Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. CoRR abs/2012.01031 (2020)
[i27]
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  - journals/corr/abs-2012-03502
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Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu:
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. CoRR abs/2012.03502 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j28]
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Han Xue, Bing Qin, Ting Liu, Shen Liu:
Tag recommendation based on topic hierarchy of folksonomy. Int. J. Comput. Sci. Eng. 20(1): 49-58 (2019)
[j27]
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Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu:
Negation scope detection with recurrent neural networks models in review texts. Int. J. High Perform. Comput. Netw. 13(2): 211-221 (2019)
[j26]
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Yibo Sun, Zhao Yan, Duyu Tang, Nan Duan, Bing Qin:
Content-based table retrieval for web queries. Neurocomputing 349: 183-189 (2019)
[j25]
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Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu:
Collective entity linking: a random walk-based perspective. Knowl. Inf. Syst. 60(3): 1611-1643 (2019)
[j24]
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Ming Liu, Gu Gong, Bing Qin, Ting Liu:
A Multi-View-Based Collective Entity Linking Method. ACM Trans. Inf. Syst. 37(2): 23:1-23:29 (2019)
[c70]
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  - conf/aaai/YuanZX019
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Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin:
Exploring Answer Stance Detection with Recurrent Conditional Attention. AAAI 2019: 7426-7433
[c69]
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Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. ACL (1) 2019: 4238-4248
[c68]
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  - conf/bibm/JiangZZQLCJ19
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Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
CTGA: Graph-based Biomedical Literature Search. BIBM 2019: 395-400
[c67]
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Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation via Row-Aware Hierarchical Encoder. CCL 2019: 533-544
[c66]
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Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP/IJCNLP (1) 2019: 302-312
[c65]
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Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 1586-1595
[c64]
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  - conf/emnlp/ChenWFJQL19
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Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin:
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. EMNLP/IJCNLP (1) 2019: 3020-3030
[c63]
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Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). EMNLP/IJCNLP (1) 2019: 3141-3150
[c62]
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  - conf/kdd/JiangZ00C019
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Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. KDD 2019: 1634-1642
[c61]
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  - conf/mir/CongZ0HZLC19
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Dawei Cong, Yanyan Zhao, Bing Qin, Yu Han, Murray Zhang, Alden Liu, Nat Chen:
Hierarchical Attention based Neural Network for Explainable Recommendation. ICMR 2019: 373-381
[c60]
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Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) 2019: 827-839
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Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian:
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers. Communications in Computer and Information Science 1134, Springer 2019, ISBN 978-981-15-1955-0 [contents]
[i26]
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  - journals/corr/abs-1903-03282
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Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. CoRR abs/1903.03282 (2019)
[i25]
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  - journals/corr/abs-1903-03289
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Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin:
Towards Time-Aware Distant Supervision for Relation Extraction. CoRR abs/1903.03289 (2019)
[i24]
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  - journals/corr/abs-1906-06045
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Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. CoRR abs/1906.06045 (2019)
[i23]
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  - journals/corr/abs-1906-08101
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Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu:
Pre-Training with Whole Word Masking for Chinese BERT. CoRR abs/1906.08101 (2019)
[i22]
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  - journals/corr/abs-1907-00720
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Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. CoRR abs/1907.00720 (2019)
[i21]
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  - journals/corr/abs-1909-00361
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Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. CoRR abs/1909.00361 (2019)
[i20]
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  - journals/corr/abs-1909-02304
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Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). CoRR abs/1909.02304 (2019)
[i19]
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  - journals/corr/abs-1909-05438
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Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. CoRR abs/1909.05438 (2019)
[i18]
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  - journals/corr/abs-1911-03324
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Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia into Augmented Data for Query-Focused Summarization. CoRR abs/1911.03324 (2019)
[i17]
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  - journals/corr/abs-1911-03514
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Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu:
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. CoRR abs/1911.03514 (2019)
2018
[j23]
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Xiaocheng Feng, Bing Qin, Ting Liu:
A language-independent neural network for event detection. Sci. China Inf. Sci. 61(9): 092106:1-092106:12 (2018)
[c59]
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Haichao Zhu, Furu Wei, Bing Qin, Ting Liu:
Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. AAAI 2018: 6077-6085
[c58]
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Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) 2018: 361-372
[c57]
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Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. ACL (1) 2018: 1393-1402
[c56]
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  - conf/bcb/ZhaoJL0018
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Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. BCB 2018: 184-193
[c55]
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Dawei Cong, Jianhua Yuan, Yanyan Zhao, Bing Qin:
A Joint Model for Sentiment Classification and Opinion Words Extraction. CCL 2018: 337-347
[c54]
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  - conf/emnlp/GengF0L18
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Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu:
Adaptive Multi-pass Decoder for Neural Machine Translation. EMNLP 2018: 523-532
[c53]
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Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. EMNLP 2018: 2422-2430
[c52]
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Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu:
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. IJCAI 2018: 4071-4077
[c51]
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Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu:
Topic-to-Essay Generation with Neural Networks. IJCAI 2018: 4078-4084
[c50]
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Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. NAACL-HLT 2018: 965-975
[i16]
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Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. CoRR abs/1804.08228 (2018)
[i15]
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Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR abs/1804.08338 (2018)
[i14]
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Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. CoRR abs/1805.11224 (2018)
[i13]
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  - journals/corr/abs-1809-04267
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Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin:
Knowledge Based Machine Reading Comprehension. CoRR abs/1809.04267 (2018)
[i12]
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  - journals/corr/abs-1809-04271
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Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin:
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. CoRR abs/1809.04271 (2018)
[i11]
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Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. CoRR abs/1810.03541 (2018)
[i10]
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Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
Learning to Refine Source Representations for Neural Machine Translation. CoRR abs/1812.10230 (2018)
2017
[j22]
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Luyang Li, Bing Qin, Ting Liu:
Contradiction Detection with Contradiction-Specific Word Embedding. Algorithms 10(2): 59 (2017)
[j21]
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Yanyan Zhao, Bing Qin, Ting Liu:
Encoding syntactic representations with a neural network for sentiment collocation extraction. Sci. China Inf. Sci. 60(11): 110101:1-110101:12 (2017)
[j20]
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Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Document representation and feature combination for deceptive spam review detection. Neurocomputing 254: 33-41 (2017)
[c49]
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Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding:
Benben: A Chinese Intelligent Conversational Robot. ACL (System Demonstrations) 2017: 13-18
[c48]
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Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Constructing Semantic Hierarchies via Fusion Learning Architecture. CCIR 2017: 136-148
[c47]
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Jiahao Liu, Chengjie Sun, Bing Qin:
Deep Learning Based Document Theme Analysis for Composition Generation. CCL 2017: 333-342
[c46]
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Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai:
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. IJCAI 2017: 3497-3503
[c45]
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Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu:
Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI 2017: 4002-4008
[c44]
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Jianhua Yuan, Huaipeng Zhao, Yanyan Zhao, Dawei Cong, Bing Qin, Ting Liu:
Babbling - The HIT-SCIR System for Emotional Conversation Generation. NLPCC 2017: 632-641
[c43]
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Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu:
Local Contexts Are Effective for Neural Aspect Extraction. SMP 2017: 244-255
[c42]
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Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai:
Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM 2017: 335-344
2016
[j19]
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Han Xue, Bing Qin, Ting Liu, Shen Liu:
Topic hierarchy construction from heterogeneous evidence. Frontiers Comput. Sci. 10(1): 136-146 (2016)
[j18]
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Yanyan Zhao, Bing Qin, Ting Liu, Duyu Tang:
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. Multim. Tools Appl. 75(15): 8843-8860 (2016)
[j17]
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Han Xue, Bing Qin, Ting Liu:
Topical key concept extraction from folksonomy through graph-based ranking. Multim. Tools Appl. 75(15): 8875-8893 (2016)
[j16]
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Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou:
Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 28(2): 496-509 (2016)
[c41]
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Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu:
A Language-Independent Neural Network for Event Detection. ACL (2) 2016
[c40]
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Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu:
English-Chinese Knowledge Base Translation with Neural Network. COLING 2016: 2935-2944
[c39]
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Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016: 3298-3307
[c38]
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Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016: 214-224
[c37]
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  - conf/icycsee/LazibZQL16
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Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu:
Negation Scope Detection with Recurrent Neural Networks Models in Review Texts. ICYCSEE (1) 2016: 494-508
[c36]
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Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. IJCAI 2016: 2880-2886
[c35]
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Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
HC-Search for Incremental Parsing. IJCAI 2016: 2887-2893
[c34]
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  - conf/semeval/PontikiGPAMAAZQ16
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Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia V. Loukachevitch, Evgeniy V. Kotelnikov, Núria Bel, Salud María Jiménez-Zafra, Gülsen Eryigit:
SemEval-2016 Task 5: Aspect Based Sentiment Analysis. SemEval@NAACL-HLT 2016: 19-30
[c33]
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Yanyan Zhao, Shengqiu Li, Bing Qin, Ting Liu:
Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction. SMP 2016: 42-53
[i9]
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Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. CoRR abs/1604.05499 (2016)
[i8]
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Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. CoRR abs/1605.08900 (2016)
[i7]
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Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Truth Discovery with Memory Network. CoRR abs/1611.01868 (2016)
2015
[j15]
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Yanyan Zhao, Bing Qin, Ting Liu:
Creating a Fine-Grained Corpus for Chinese Sentiment Analysis. IEEE Intell. Syst. 30(1): 36-43 (2015)
[j14]
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Xiao Ding, Bing Qin, Ting Liu:
BUEES: a bottom-up event extraction system. Frontiers Inf. Technol. Electron. Eng. 16(7): 541-552 (2015)
[j13]
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Ruiji Fu, Bing Qin, Ting Liu:
Open-categorical text classification based on multi-LDA models. Soft Comput. 19(1): 29-38 (2015)
[j12]
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Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Semantic Hierarchies: A Continuous Vector Space Approach. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 461-471 (2015)
[j11]
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Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1750-1761 (2015)
[j10]
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Duyu Tang, Bing Qin, Ting Liu:
Deep learning for sentiment analysis: successful approaches and future challenges. WIREs Data Mining Knowl. Discov. 5(6): 292-303 (2015)
[c32]
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Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu:
Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. ACL (1) 2015: 524-533
[c31]
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Duyu Tang, Bing Qin, Ting Liu:
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. ACL (1) 2015: 1014-1023
[c30]
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  - conf/cncl/LiRQL15
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Luyang Li, Wenjing Ren, Bing Qin, Ting Liu:
Learning Document Representation for Deceptive Opinion Spam Detection. CCL 2015: 393-404
[c29]
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  - conf/emnlp/TangQL15
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Duyu Tang, Bing Qin, Ting Liu:
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. EMNLP 2015: 1422-1432
[c28]
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Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang:
User Modeling with Neural Network for Review Rating Prediction. IJCAI 2015: 1340-1346
[c27]
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Yijia Liu, Yue Zhang, Wanxiang Che, Bing Qin:
Transition-Based Syntactic Linearization. HLT-NAACL 2015: 113-122
[c26]
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Muyu Zhang, Vanessa Wei Feng, Bing Qin, Graeme Hirst, Ting Liu, Jingwen Huang:
Encoding World Knowledge in the Evaluation of Local Coherence. HLT-NAACL 2015: 1087-1096
[c25]
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Yanyan Zhao, Bing Qin, Zhenjiang Dong, Hong Chen, Ting Liu:
What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs. NLPCC 2015: 453-464
[c24]
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Luyang Li, Bing Qin, Ting Liu:
Generating Triples Based on Dependency Parsing for Contradiction Detection. SMP 2015: 200-208
[i6]
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Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Target-Dependent Sentiment Classification with Long Short Term Memory. CoRR abs/1512.01100 (2015)
[i5]
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Duyu Tang, Bing Qin, Xinwei Geng, Dandan Ning, Jiahao Liu, Ting Liu:
A Planning based Framework for Essay Generation. CoRR abs/1512.05919 (2015)
2014
[j9]
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Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese named entity data from parallel corpora. Frontiers Comput. Sci. 8(4): 629-641 (2014)
[c23]
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Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Semantic Hierarchies via Word Embeddings. ACL (1) 2014: 1199-1209
[c22]
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Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin:
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. ACL (1) 2014: 1555-1565
[c21]
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Yanyan Zhao, Bing Qin, Ting Liu:
Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining. CCL 2014: 120-130
[c20]
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Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu:
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. COLING 2014: 172-182
[c19]
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Muyu Zhang, Bing Qin, Ting Liu, Mao Zheng:
Triple based Background Knowledge Ranking for Document Enrichment. COLING 2014: 917-927
[c18]
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Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu:
Sentence Compression for Target-Polarity Word Collocation Extraction. COLING 2014: 1360-1369
[c17]
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Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP 2014: 477-487
[c16]
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Yanyan Zhao, Bing Qin, Ting Liu:
Aspect-Object Alignment Using Integer Linear Programming. NLPCC 2014: 193-204
[c15]
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  - conf/semeval/TangWQLZ14
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Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou:
Coooolll: A Deep Learning System for Twitter Sentiment Classification. SemEval@COLING 2014: 208-212
[i4]
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Duyu Tang, Bing Qin, Ting Liu, Qiuhui Shi:
Emotion Analysis Platform on Chinese Microblog. CoRR abs/1403.7335 (2014)
2013
[c14]
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Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen:
Improving Web Search Ranking by Incorporating Structured Annotation of Queries. EMNLP 2013: 468-478
[c13]
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Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
Microblog Entity Linking by Leveraging Extra Posts. EMNLP 2013: 863-868
[c12]
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Ruiji Fu, Bing Qin, Ting Liu:
Exploiting Multiple Sources for Open-Domain Hypernym Discovery. EMNLP 2013: 1224-1234
[c11]
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Xiao Ding, Bing Qin, Ting Liu:
Building Chinese Event Type Paradigm Based on Trigger Clustering. IJCNLP 2013: 311-319
[c10]
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Han Xue, Bing Qin, Ting Liu, Chao Xiang:
Topical Key Concept Extraction from Folksonomy. IJCNLP 2013: 480-488
[c9]
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Yuhang Guo, Bing Qin, Yuqin Li, Ting Liu, Sheng Li:
Improving Candidate Generation for Entity Linking. NLDB 2013: 225-236
[c8]
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Duyu Tang, Bing Qin, Ting Liu, Zhenghua Li:
Learning Sentence Representation for Emotion Classification on Microblogs. NLPCC 2013: 212-223
[i3]
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Duyu Tang, Bing Qin, Lanjun Zhou, Kam-Fai Wong, Yanyan Zhao, Ting Liu:
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation. CoRR abs/1309.6722 (2013)
2012
[j8]
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Ruifang He, Bing Qin, Ting Liu:
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering. Expert Syst. Appl. 39(3): 2375-2384 (2012)
[c7]
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Yanyan Zhao, Bing Qin, Ting Liu:
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. EMNLP-CoNLL 2012: 160-170
[i2]
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Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
HIT Approaches to Entity Linking at TAC 2012. TAC 2012
2011
[j7]
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Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification. Int. J. Comput. Process. Orient. Lang. 23(1): 21-37 (2011)
[c6]
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Wei-Peng Chen, Muyu Zhang, Bing Qin:
Coreference Resolution System using Maximum Entropy Classifier. CoNLL Shared Task 2011: 127-130
[c5]
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Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese Named Entity Data from a Parallel Corpus. IJCNLP 2011: 264-272
2010
[j6]
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Yiheng Chen, Bing Qin, Ting Liu, Yuanchao Liu, Sheng Li:
The Comparison of SOM and K-means for Text Clustering. Comput. Inf. Sci. 3(2): 268-274 (2010)
[j5]
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Ruifang He, Bing Qin, Ting Liu, Sheng Li:
Cascaded Regression Analysis Based Temporal Multi-document Summarization. Informatica (Slovenia) 34(1): 119-124 (2010)
[c4]
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Yanyan Zhao, Bing Qin, Shen Hu, Ting Liu:
Generalizing Syntactic Structures for Product Attribute Candidate Extraction. HLT-NAACL 2010: 377-380

2000 – 2009

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2009
[j4]
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Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Unsupervised Coreference Resolution with HyperGraph Partitioning. Comput. Inf. Sci. 2(4): 55-63 (2009)
[c3]
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Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin, Ting Liu:
Multilingual Dependency-based Syntactic and Semantic Parsing. CoNLL Shared Task 2009: 49-54
2008
[j3]
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Ruifang He, Bing Qin, Ting Liu, Yuequn Pan, Sheng Li:
A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression. J. Chin. Lang. Comput. 18(4): 139-160 (2008)
[j2]
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Ruifang He, Bing Qin, Ting Liu, Yang Liu, Sheng Li:
Iterative Feedback Based Manifold-Ranking for Update Summary. Polibits 37: 5-13 (2008)
[c2]
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Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li:
A Cascaded Syntactic and Semantic Dependency Parsing System. CoNLL 2008: 238-242
[c1]
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Bing Qin, Yanyan Zhao, Leilei Gao, Ting Liu:
Recommended or Not? Give Advice on Online Products. FSKD (4) 2008: 208-212
[i1]
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Ruifang He, Yang Liu, Bing Qin, Ting Liu, Sheng Li:
HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence. TAC 2008
2007
[j1]
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Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Intra-document Coreference Resolution: The state of the art. J. Chin. Lang. Comput. 17(4): 227-253 (2007)

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