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2020 – today
- 2025
[j14]Yuqing Lan
, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu:
Multi-Evidence Based Fact Verification via A Confidential Graph Neural Network. IEEE Trans. Big Data 11(2): 426-437 (2025)- [i59]Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun:
Learning More Effective Representations for Dense Retrieval through Deliberate Thinking Before Search. CoRR abs/2502.12974 (2025) - [i58]Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen, Zhenghao Liu, Chuan Shi, Cheng Yang:
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths. CoRR abs/2502.14902 (2025) - [i57]Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong:
PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning. CoRR abs/2502.15543 (2025) - [i56]Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu:
LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences. CoRR abs/2502.17057 (2025) - [i55]Zhenghao Liu, Xingsheng Zhu, Tianshuo Zhou, Xinyi Zhang, Xiaoyuan Yi, Yukun Yan, Yu Gu, Ge Yu, Maosong Sun:
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts. CoRR abs/2502.17297 (2025) - [i54]Zhenghao Liu, Haolan Wang, Xinze Li, Qiushi Xiong, Xiaocui Yang, Yu Gu, Yukun Yan, Qi Shi, Fangfang Li, Ge Yu, Maosong Sun:
HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization. CoRR abs/2502.17315 (2025) - [i53]Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu:
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts. CoRR abs/2502.17888 (2025) - [i52]Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu:
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. CoRR abs/2502.18817 (2025) - 2024
- [j13]Shuai Zhang, Yang Zhang, Jing Li, Zhenni Ni, Zhenghao Liu:
Heart or mind? The impact of congruence on the persuasiveness of cognitive versus affective appeals in debunking messages on social media during public health crises. Comput. Hum. Behav. 154: 108136 (2024) - [j12]Zhenghao Liu, Yuxing Qian, Wenlong Lv, Yanbin Fang, Shenglan Liu:
Multi-feature fusion stock prediction based on knowledge graph. Electron. Libr. 42(3): 455-482 (2024) - [j11]Zhenghao Liu, Zhijian Zhang, Xi Zeng:
Risk identification and management through knowledge Association: A financial event evolution knowledge graph approach. Expert Syst. Appl. 252: 123999 (2024) - [j10]Jiayuan Xie, Jiali Chen, Zhenghao Liu, Yi Cai, Qingbao Huang, Qing Li:
Video Question Generation for Dynamic Changes. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8710-8721 (2024) - [j9]Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. IEEE Trans. Knowl. Data Eng. 36(9): 4515-4530 (2024) - [j8]Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang:
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. IEEE Trans. Knowl. Data Eng. 36(11): 6237-6250 (2024) - [c39]Bohan Zhang, Mo Chen, Jing Chen, Minghe Yu, Zhenghao Liu, Bin Xu, Ge Yu:
MMPDRec: A Denoising Model for Knowledge Concepts Recommendation Using Metapaths. WISA 2024: 65-77 - [c38]Jing Chen, Yu Zhang, Bohan Zhang, Zhenghao Liu, Minghe Yu, Bin Xu, Ge Yu:
Knowledge-Aware Self-supervised Educational Resources Recommendation. WISA 2024: 524-535 - [c37]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. ACL (Findings) 2024: 2081-2107 - [c36]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. ACL (Findings) 2024: 11789-11804 - [c35]Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. ACL (1) 2024: 11929-11942 - [c34]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. ACL (1) 2024: 14608-14624 - [c33]Zhipeng Xu, Zhenghao Liu, Yu Gu, Ge Yu:
Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems. CCIR 2024: 66-79 - [c32]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion. LREC/COLING 2024: 7556-7561 - [c31]Ruining Chong, Luming Lu, Liner Yang, Jinran Nie, Zhenghao Liu, Shuo Wang, Shuhan Zhou, Yaoxin Li, Erhong Yang:
MCTS: A Multi-Reference Chinese Text Simplification Dataset. LREC/COLING 2024: 11111-11122 - [c30]Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs. EMNLP 2024: 7086-7100 - [c29]Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu:
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data. ICDE 2024: 4316-4328 - [c28]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. NAACL-HLT 2024: 831-854 - [c27]Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. WWW (Companion Volume) 2024: 83-92 - [i51]Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. CoRR abs/2402.04588 (2024) - [i50]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. CoRR abs/2402.11453 (2024) - [i49]Yang Liu, Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Yang Liu, Maosong Sun, Erhong Yang:
OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models. CoRR abs/2402.13524 (2024) - [i48]Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu:
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning. CoRR abs/2402.13547 (2024) - [i47]Luming Lu, Jiyuan An, Yujie Wang, Liner Yang, Cunliang Kong, Zhenghao Liu, Shuo Wang, Haozhe Lin, Mingwei Fang, Yaping Huang, Erhong Yang:
From Text to CQL: Bridging Natural Language and Corpus Search Engine. CoRR abs/2402.13740 (2024) - [i46]Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Chenyan Xiong, Ge Yu:
Cleaner Pretraining Corpus Curation with Neural Web Scraping. CoRR abs/2402.14652 (2024) - [i45]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yukun Yan, Shuo Wang, Ge Yu:
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression. CoRR abs/2402.16058 (2024) - [i44]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i43]Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu:
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network. CoRR abs/2405.10481 (2024) - [i42]Xingtong Yu, Zhenghao Liu, Yuan Fang, Xinming Zhang:
DyGPrompt: Learning Feature and Time Prompts on Dynamic Graphs. CoRR abs/2405.13937 (2024) - [i41]Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
PersLLM: A Personified Training Approach for Large Language Models. CoRR abs/2407.12393 (2024) - [i40]Kunlun Zhu, Yifan Luo, Dingling Xu, Ruobing Wang, Shi Yu, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework. CoRR abs/2408.01262 (2024) - [i39]Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu:
Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement. CoRR abs/2408.05006 (2024) - [i38]Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs. CoRR abs/2410.06581 (2024) - [i37]Ruobing Wang, Daren Zha, Shi Yu, Qingfei Zhao, Yuxuan Chen, Yixuan Wang, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation. CoRR abs/2410.08821 (2024) - [i36]Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents. CoRR abs/2410.10594 (2024) - [i35]Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong:
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. CoRR abs/2410.13509 (2024) - [i34]Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu:
Building A Coding Assistant via the Retrieval-Augmented Language Model. CoRR abs/2410.16229 (2024) - [i33]Zheni Zeng, Yuxuan Chen, Shi Yu, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun:
KBAlign: Efficient Self Adaptation on Specific Knowledge Bases. CoRR abs/2411.14790 (2024) - 2023
- [j7]Liner Yang, Xin Liu, Tianxin Liao, Zhenghao Liu, Mengyan Wang, Xuezhi Fang, Erhong Yang:
Is Chinese Spelling Check ready? Understanding the correction behavior in real-world scenarios. AI Open 4: 183-192 (2023) - [j6]Zigang Chen, Renjie Dai, Zhenghao Liu, Long Chen, Yuhong Liu, Kai Sheng:
An Interpretive Adversarial Attack Method: Attacking Softmax Gradient Layer-Wise Relevance Propagation Based on Cosine Similarity Constraint and TS-Invariant. Neural Process. Lett. 55(4): 4623-4639 (2023) - [j5]Yuxing Qian, Zhenni Ni, Han Zheng, Zhenghao Liu, Feicheng Ma:
Factors influencing users' post replying behavior in a senior online community: An empirical investigation. Telematics Informatics 77: 101926 (2023) - [c26]Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan, Erhong Yang:
Leveraging Prefix Transfer for Multi-Intent Text Revision. ACL (2) 2023: 1219-1228 - [c25]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. ACL (Findings) 2023: 11560-11574 - [c24]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CIKM 2023: 1534-1544 - [c23]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval. ICLR 2023 - [c22]Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. SIGIR 2023: 3160-3164 - [i32]Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. CoRR abs/2303.06213 (2023) - [i31]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. CoRR abs/2305.14685 (2023) - [i30]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. CoRR abs/2305.19912 (2023) - [i29]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CoRR abs/2308.14029 (2023) - [i28]Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. CoRR abs/2310.05155 (2023) - [i27]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. CoRR abs/2310.14037 (2023) - [i26]Peixuan Han, Zhenghao Liu, Zhiyuan Liu, Chenyan Xiong:
Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs. CoRR abs/2310.16605 (2023) - [i25]Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. CoRR abs/2311.07619 (2023) - [i24]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing. CoRR abs/2311.09868 (2023) - [i23]Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang:
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. CoRR abs/2311.15317 (2023) - 2022
- [j4]Zhenghao Liu, Zhijian Zhang, Xi Zeng, Huakui Lv:
Representation and association of Chinese financial equity knowledge driven by multilayer ontology. Data Inf. Manag. 6(3): 100009 (2022) - [c21]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. EMNLP 2022: 5692-5698 - [c20]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. SIGIR 2022: 1956-1962 - [i22]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. CoRR abs/2205.01886 (2022) - [i21]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. CoRR abs/2205.03284 (2022) - [i20]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Multi-Modality Retrieval with One Unified Embedding Space. CoRR abs/2209.00179 (2022) - 2021
- [j3]Zhenghao Liu, Xi Zeng:
Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service. Data Inf. Manag. 5(2): 262-276 (2021) - [c19]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. ACL/IJCNLP (1) 2021: 5030-5043 - [c18]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. EMNLP (Findings) 2021: 1684-1690 - [c17]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. ICTIR 2021: 287-296 - [c16]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. NAACL-HLT 2021: 5441-5452 - [c15]Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Jie Bao:
Capturing Global Informativeness in Open Domain Keyphrase Extraction. NLPCC (2) 2021: 275-287 - [c14]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. SIGIR 2021: 829-838 - [c13]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun:
OpenMatch: An Open Source Library for Neu-IR Research. SIGIR 2021: 2531-2535 - [i19]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. CoRR abs/2102.00166 (2021) - [i18]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. CoRR abs/2105.04166 (2021) - [i17]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. CoRR abs/2105.04443 (2021) - [i16]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. CoRR abs/2107.07773 (2021) - [i15]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. CoRR abs/2109.04562 (2021) - [i14]Yingying Wang, Cunliang Kong, Liner Yang, Yijun Wang, Xiaorong Lu, Renfen Hu, Shan He, Zhenghao Liu, Yun Chen, Erhong Yang, Maosong Sun:
YACLC: A Chinese Learner Corpus with Multidimensional Annotation. CoRR abs/2112.15043 (2021) - 2020
- [c12]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. ACL 2020: 2031-2043 - [c11]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Fine-grained Fact Verification with Kernel Graph Attention Network. ACL 2020: 7342-7351 - [c10]Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu:
Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. EMNLP (Findings) 2020: 2395-2400 - [c9]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. EMNLP (1) 2020: 7170-7186 - [c8]Zhenghao Liu, Wenyu Peng, Jun Zhou, Zifeng Wu, Jintao Zhang, Yunchun Zhang:
MI-FGSM on Faster R-CNN Object Detector. ICVIP 2020: 27-32 - [c7]Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun:
Text Style Transfer via Learning Style Instance Supported Latent Space. IJCAI 2020: 3801-3807 - [c6]Xinpeng Wang, Yiqun Dong, Shaobing Xu, Huei Peng, Fucong Wang, Zhenghao Liu:
Behavioral Competence Tests for Highly Automated Vehicles. IV 2020: 1323-1329 - [c5]Jintao Zhang, Zhenghao Liu, Liren Wu, Liwen Wu, Qing Duan, Junhui Liu:
GF-Attack: A Strategy to Improve the Performance of Adversarial Example. ML4CS (2) 2020: 501-513 - [c4]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. WWW 2020: 474-485 - [i13]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. CoRR abs/2001.10382 (2020) - [i12]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. CoRR abs/2004.06870 (2020) - [i11]Si Sun, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Jie Bao:
Joint Keyphrase Chunking and Salience Ranking with BERT. CoRR abs/2004.13639 (2020) - [i10]Cunliang Kong, Liner Yang, Tianzuo Zhang, Qinan Fan, Zhenghao Liu, Yun Chen, Erhong Yang:
Toward Cross-Lingual Definition Generation for Language Learners. CoRR abs/2010.05533 (2020) - [i9]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020) - [i8]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. CoRR abs/2012.14862 (2020)
2010 – 2019
- 2019
- [j2]Zhenghao Liu, Guangquan Zhang:
基于WSAN的物联网软件分布式知识框架及其实现方法 (Distributed Knowledge Framework of IOT Software Based on WSAN and Its Implementation Strategy). 计算机科学 46(1): 148-154 (2019) - [c3]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL (1) 2019: 764-777 - [c2]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CCL 2019: 105-116 - [i7]Yifan Qiao, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Understanding the Behaviors of BERT in Ranking. CoRR abs/1904.07531 (2019) - [i6]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. CoRR abs/1906.06127 (2019) - [i5]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CoRR abs/1908.10554 (2019) - [i4]Zhenghao Liu, Chenyan Xiong, Maosong Sun:
Kernel Graph Attention Network for Fact Verification. CoRR abs/1910.09796 (2019) - [i3]Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network. CoRR abs/1911.02170 (2019) - [i2]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Conversation Generation with Concept Flow. CoRR abs/1911.02707 (2019) - 2018
- [c1]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. ACL (1) 2018: 2395-2405 - [i1]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. CoRR abs/1805.07591 (2018) - 2017
- [j1]Liner Yang, Maosong Sun, Yong Cheng, Jiacheng Zhang, Zhenghao Liu, Huan-Bo Luan, Yang Liu:
Neural Parse Combination. J. Comput. Sci. Technol. 32(4): 749-757 (2017)
Coauthor Index
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