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ORCIDTing Liu 0001
Person information
- affiliation: Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- affiliation (PhD 1998): Harbin Institute of Technology, Department of Computer Science, China
Other persons with the same name
- Ting Liu — disambiguation page
- Ting Liu 0002
![[0000-0002-7600-0934]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7600-0934")
— Xi'an Jiaotong University, School of Electronic and Information Engineering, MOEKLINNS, China - Ting Liu 0003 — State University of New York at Albany, NY, USA
- Ting Liu 0004 — AUG Signals Ltd., Toronto, ON, Canada
- Ting Liu 0005 — Google, Inc. (and 1 more)
- Ting Liu 0006 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Ting Liu 0007 — Henri Poincaré University, Nancy, France
- Ting Liu 0008 — Harbin Institute of Technology, Department of Control Science and Engineering, China
- Ting Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Ting Liu 0010 — Chinese Academy of Sciences, Academy of Mathematics and Systems Sciences, Key Laboratory of Systems and Control, Beijing, China
- Ting Liu 0011 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Ting Liu 0012 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Ting Liu 0013 — Nanjing University of Information Science and Technology, Nanjing, China (and 1 more)
- Ting Liu 0014 — Guangdong University of Technology, Department of Communication Engineering, Guangzhou, China
- Ting Liu 0015 — Tianjin University, Department of Management and Economics, China
- Ting Liu 0016 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Microelectronics, China
- Ting Liu 0017 — National University of Defense Technology, NUDT, College of Electronic Science and Technology, Changsha, China
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2020 – today
- 2024
[j106]Wei Song, Hongfei Han, Xu Han, Miaomiao Cheng, Jiefu Gong, Shijin Wang, Ting Liu:
Discriminative explicit instance selection for implicit discourse relation classification. Frontiers Comput. Sci. 18(4): 184340 (2024)- [j105]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) - [j104]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) - [j103]Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Event Causality Identification via Competitive-Cooperative Cognition Networks. Knowl. Based Syst. 300: 112139 (2024) - [j102]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) - [j101]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) - [j100]Longxuan Ma, Jiapeng Li, Mingda Li, Weinan Zhang, Ting Liu:
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue. ACM Trans. Inf. Syst. 42(2): 49:1-49:29 (2024) - [c309]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 - [c308]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 - [c307]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 - [c306]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qi:
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. ACL (Findings) 2024: 9386-9406 - [c305]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 - [c304]Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu:
Exploring Hybrid Question Answering via Program-based Prompting. ACL (1) 2024: 11035-11046 - [c303]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 - [c302]Longxuan Ma, Changxin Ke, Shuhan Zhou, Churui Sun, Wei-Nan Zhang, Ting Liu:
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models. LREC/COLING 2024: 1563-1576 - [c301]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 - [c300]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 - [i155]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) - [i154]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) - [i153]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) - [i152]Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu:
Exploring Hybrid Question Answering via Program-based Prompting. CoRR abs/2402.10812 (2024) - [i151]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) - [i150]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) - [i149]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) - [i148]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) - [i147]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) - [i146]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) - [i145]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu:
Relay Decoding: Concatenating Large Language Models for Machine Translation. CoRR abs/2405.02933 (2024) - [i144]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) - [i143]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) - [i142]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) - [i141]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) - [i140]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) - 2023
- [j99]Le Qi, Yu Zhang, Ting Liu:
Bidirectional Transformer with absolute-position aware relative position encoding for encoding sentences. Frontiers Comput. Sci. 17(1): 171301 (2023) - [j98]Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong:
Graph-Grounded Goal Planning for Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4923-4939 (2023) - [j97]Weinan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. ACM Trans. Inf. Syst. 41(1): 15:1-15:30 (2023) - [j96]Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang, Ting Liu:
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. ACM Trans. Inf. Syst. 41(3): 68:1-68:36 (2023) - [c299]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 - [c298]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 - [c297]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 - [c296]Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu:
I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets. ACL (Findings) 2023: 7223-7237 - [c295]Sainan Jia, Wei Song, Jiefu Gong, Shijin Wang, Ting Liu:
Sentence Ordering with a Coherence Verifier. ACL (Findings) 2023: 9301-9314 - [c294]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 - [c293]Yushan Qian, Weinan Zhang, Ting Liu:
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. EMNLP (Findings) 2023: 6516-6528 - [c292]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 - [c291]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. EMNLP (Findings) 2023: 11111-11126 - [c290]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 - [c289]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 - [i139]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) - [i138]Bo Sun, Baoxin Wang, Yixuan Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Ting Liu:
CSED: A Chinese Semantic Error Diagnosis Corpus. CoRR abs/2305.05183 (2023) - [i137]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. CoRR abs/2305.07375 (2023) - [i136]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) - [i135]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) - [i134]Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu:
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset. CoRR abs/2306.05672 (2023) - [i133]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) - [i132]Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu:
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models. CoRR abs/2308.07902 (2023) - [i131]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) - [i130]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) - [i129]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) - [i128]Yushan Qian, Wei-Nan Zhang, Ting Liu:
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. CoRR abs/2310.05140 (2023) - [i127]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) - [i126]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) - [i125]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
- [j95]Le Qi, Yu Zhang, Qingyu Yin, Ting Liu:
MS-Transformer: Introduce multiple structural priors into a unified transformer for encoding sentences. Comput. Speech Lang. 72: 101304 (2022) - [j94]Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022) - [j93]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) - [j92]Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, Ting Liu:
Combining Self-supervised Learning and Active Learning for Disfluency Detection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(3): 62:1-62:25 (2022) - [j91]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) - [j90]Libo Qin, Fuxuan Wei, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu:
Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 77:1-77:17 (2022) - [j89]Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang:
Teaching Machines to Read, Answer and Explain. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1483-1492 (2022) - [j88]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) - [j87]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) - [j86]Longxuan Ma, Mingda Li, Wei-Nan Zhang, Jiapeng Li, Ting Liu:
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey. ACM Trans. Inf. Syst. 40(1): 9:1-9:44 (2022) - [c288]Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu:
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. AAAI 2022: 10454-10462 - [c287]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 - [c286]Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu:
DuReadervis: A Chinese Dataset for Open-domain Document Visual Question Answering. ACL (Findings) 2022: 1338-1351 - [c285]Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638 - [c284]Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei:
CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. ACL (1) 2022: 6088-6100 - [c283]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 - [c282]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. COLING 2022: 485-495 - [c281]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 - [c280]Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu:
CogBERT: Cognition-Guided Pre-trained Language Models. COLING 2022: 3210-3225 - [c279]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. EMNLP (Findings) 2022: 471-485 - [c278]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 - [c277]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 - [c276]Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Wen Junjie, Jinlong Li, Ting Liu:
All Information is Valuable: Question Matching over Full Information Transmission Network. NAACL-HLT (Findings) 2022: 1431-1440 - [i124]Yiming Cui, Ziqing Yang, Ting Liu:
PERT: Pre-training BERT with Permuted Language Model. CoRR abs/2203.06906 (2022) - [i123]Haoyu Song, Li Dong, Wei-Nan Zhang, Ting Liu, Furu Wei:
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment. CoRR abs/2203.07190 (2022) - [i122]Bo Sun, Baoxin Wang, Wanxiang Che, Dayong Wu, Zhigang Chen, Ting Liu:
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition. CoRR abs/2204.07464 (2022) - [i121]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) - [i120]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) - [i119]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. CoRR abs/2208.08094 (2022) - [i118]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) - [i117]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) - [i116]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) - [i115]Yiming Cui, Wanxiang Che, Shijin Wang, Ting Liu:
LERT: A Linguistically-motivated Pre-trained Language Model. CoRR abs/2211.05344 (2022) - 2021
- [j85]Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [j84]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) - [j83]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) - [j82]Yaqin Geng, Ting Liu, Yu Ding, Wei Liu, Jiayi Ye, Linlin Hu, Li Ruan:
Deep Learning-Based Self-Efficacy X-Ray Images in the Evaluation of Rheumatoid Arthritis Combined with Osteoporosis Nursing. Sci. Program. 2021: 9959617:1-9959617:8 (2021) - [j81]Zhongyang Li, Xiao Ding, Ting Liu:
TransBERT: A Three-Stage Pre-training Technology for Story-Ending Prediction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 16:1-16:20 (2021) - [j80]Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Jizhou Huang, Ting Liu:
Coherent Dialog Generation with Query Graph. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 101:1-101:23 (2021) - [j79]Wei Song, Jingjin Guo, Ruiji Fu, Ting Liu, Lizhen Liu:
A Knowledge Graph Embedding Approach for Metaphor Processing. IEEE ACM Trans. Audio Speech Lang. Process. 29: 406-420 (2021) - [j78]Libo Qin, Wanxiang Che, Minheng Ni, Yangming Li, Ting Liu:
Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1280-1289 (2021) - [j77]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) - [j76]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) - [c275]Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu:
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. AAAI 2021: 13027-13035 - [c274]Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu:
Few-shot Learning for Multi-label Intent Detection. AAAI 2021: 13036-13044 - [c273]Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu:
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification. AAAI 2021: 13709-13717 - [c272]Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. ACL/IJCNLP (1) 2021: 167-177 - [c271]Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu:
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling. ACL/IJCNLP (1) 2021: 178-188 - [c270]