ask others

• Google
• Google Scholar
• Semantic Scholar
• Internet Archive Scholar
• CiteSeerX
• ORCID

• 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

• Ting Liu —disambiguation page
• Ting Liu0002 — Xi'an Jiaotong University, School of Electronic and Information Engineering, MOEKLINNS, China
• Ting Liu0003 — State University of New York at Albany, NY, USA
• Ting Liu0004 — AUG Signals Ltd., Toronto, ON, Canada
• Ting Liu0005 —Google, Inc.(and 1 more)
• Ting Liu0006 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
• Ting Liu0007 — Henri Poincaré University, Nancy, France
• Ting Liu0008 — Harbin Institute of Technology, Department of Control Science and Engineering, China
• Ting Liu0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
• Ting Liu0010 — Chinese Academy of Sciences, Academy of Mathematics and Systems Sciences, Key Laboratory of Systems and Control, Beijing, China
• Ting Liu0011 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
• Ting Liu0012 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
• Ting Liu0013 —Nanjing University of Information Science and Technology, Nanjing, China(and 1 more)
• Ting Liu0014 — Guangdong University of Technology, Department of Communication Engineering, Guangzhou, China
• Ting Liu0015 — Tianjin University, Department of Management and Economics, China
• Ting Liu0016 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Microelectronics, China
• Ting Liu0017 — National University of Defense Technology, NUDT, College of Electronic Science and Technology, Changsha, China
• Ting Liu0018 — Beijing Meitu Home Technology Co., Ltd., China

• Cheng-Ting Liu
• Chi-Ting Liu
• Chih-Ting Liu
• Chun-Ting Liu
• Guan-Ting Liu
• Kuan-Ting Liu
• Wei-Ting Liu
• Yan-Ting Liu
• Yen-Ting Liu
• Yu-Ting Liu
• show all similar names

• 2025
• 
  [j113]
  Kai Xiong,Xiao Ding,Yixin Cao,Yang Zhao,Ting Liu,Bing Qin:
  Think straight or think again? Continual joint learning of deduction, abduction and induction.Neural Networks191:107768 (2025)
• 
  [j112]
  Xiao Ding,Bibo Cai,Xue Li,Ting Liu,Bing Qin:
  x-ECON: Explainable Event-Consumption Commonsense Reasoning.IEEE Trans. Big Data11(3):1066-1077 (2025)
• 
  [j111]
  Haochun Wang,Sendong Zhao,Zewen Qiang,Zijian Li,Chi Liu,Nuwa Xi,Yanrui Du,Bing Qin,Ting Liu:
  Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese.ACM Trans. Knowl. Discov. Data19(2):53:1-53:17 (2025)
• 
  [j110]
  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)
• 
  [j109]
  Jihao Shi,Xiao Ding,Siu Cheung Hui,Yuxiong Yan,Hengwei Zhao,Ting Liu,Bing Qin:
  Final: Combining First-Order Logic With Natural Logic for Question Answering.IEEE Trans. Knowl. Data Eng.37(6):3103-3117 (2025)
• 
  [j108]
  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.ACM Trans. Inf. Syst.43(2):42:1-42:55 (2025)
• 
  [c319]
  Haochun Wang,Sendong Zhao,Zewen Qiang,Nuwa Xi,Bing Qin,Ting Liu:
  LLMs May Perform MCQA by Selecting the Least Incorrect Option.COLING2025:5852-5862
• 
  [c318]
  Jihao Shi,Xiao Ding,Hengwei Zhao,Ting Liu,Bing Qin:
  Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering.ICASSP2025:1-5
• 
  [c317]
  Yirong Zeng,Xiao Ding,Bibo Cai,Ting Liu,Bing Qin:
  Exploring Large Language Models for Effective Rumor Detection on Social Media.NAACL (Long Papers)2025:2537-2552
• 
  [i190]
  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.CoRRabs/2501.09766 (2025)
• 
  [i189]
  Qiguang Chen,Libo Qin,Jinhao Liu,Dengyun Peng,Jiaqi Wang,Mengkang Hu,Zhi Chen,Wanxiang Che,Ting Liu:
  ECM: A Unified Electronic Circuit Model for Explaining the Emergence of In-Context Learning and Chain-of-Thought in Large Language Model.CoRRabs/2502.03325 (2025)
• 
  [i188]
  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.CoRRabs/2502.11062 (2025)
• 
  [i187]
  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.CoRRabs/2502.20968 (2025)
• 
  [i186]
  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.CoRRabs/2503.01424 (2025)
• 
  [i185]
  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.CoRRabs/2503.05362 (2025)
• 
  [i184]
  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.CoRRabs/2503.17979 (2025)
• 
  [i183]
  Weixiang Zhao,Jiahe Guo,Yulin Hu,Yang Deng,An Zhang,Xingyu Sui,Xinyang Han,Yanyan Zhao,Bing Qin,Tat-Seng Chua,Ting Liu:
  AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender.CoRRabs/2504.09466 (2025)
• 
  [i182]
  Zhouhao Sun,Xiao Ding,Li Du,Yunpeng Xu,Yixuan Ma,Yang Zhao,Bing Qin,Ting Liu:
  Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models.CoRRabs/2504.12898 (2025)
• 
  [i181]
  Yang Zhao,Kai Xiong,Xiao Ding,Li Du,YangouOuyang,Zhouhao Sun,Jiannan Guan,Wenbin Zhang,Bin Liu,Dong Hu,Bing Qin,Ting Liu:
  UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection.CoRRabs/2505.12457 (2025)
• 
  [i180]
  Haochun Wang,Sendong Zhao,Jingbo Wang,Zewen Qiang,Bing Qin,Ting Liu:
  Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems.CoRRabs/2505.12467 (2025)
• 
  [i179]
  Weixiang Zhao,Jiahe Guo,Yang Deng,Tongtong Wu,Wenxuan Zhang,Yulin Hu,Xingyu Sui,Yanyan Zhao,Wanxiang Che,Bing Qin,Tat-Seng Chua,Ting Liu:
  When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners.CoRRabs/2505.15257 (2025)
• 
  [i178]
  Weixiang Zhao,Xingyu Sui,Yulin Hu,Jiahe Guo,Haixiao Liu,Biye Li,Yanyan Zhao,Bing Qin,Ting Liu:
  Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment.CoRRabs/2505.15456 (2025)
• 
  [i177]
  Zhouhao Sun,Zhiyuan Kan,Xiao Ding,Li Du,Yang Zhao,Bing Qin,Ting Liu:
  Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing.CoRRabs/2505.16522 (2025)
• 
  [i176]
  Weixiang Zhao,Yulin Hu,Yang Deng,Tongtong Wu,Wenxuan Zhang,Jiahe Guo,An Zhang,Yanyan Zhao,Bing Qin,Tat-Seng Chua,Ting Liu:
  MPO: Multilingual Safety Alignment via Reward Gap Optimization.CoRRabs/2505.16869 (2025)
• 
  [i175]
  Xin Lu,Yanyan Zhao,Si Wei,Shijin Wang,Bing Qin,Ting Liu:
  How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation.CoRRabs/2505.18522 (2025)
• 
  [i174]
  Yang He,Xiao Ding,Bibo Cai,Yufei Zhang,Kai Xiong,Zhouhao Sun,Bing Qin,Ting Liu:
  Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.CoRRabs/2505.20664 (2025)
• 
  [i173]
  Jinglong Gao,Xiao Ding,Lingxiao Zou,Bibo Cai,Bing Qin,Ting Liu:
  ExpeTrans: LLMs Are Experiential Transfer Learners.CoRRabs/2505.23191 (2025)
• 
  [i172]
  Jinglong Gao,Xiao Ding,Lingxiao Zou,Bing Qin,Ting Liu:
  CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer.CoRRabs/2505.24143 (2025)
• 
  [i171]
  Weitao Ma,Xiyuan Du,Xiaocheng Feng,Lei Huang,Yichong Huang,Huiyi Zhang,Xiaoliang Yang,Baohang Li,Xiachong Feng,Ting Liu,Bing Qin:
  One for All: Update Parameterized Knowledge Across Multiple Models.CoRRabs/2506.00817 (2025)
• 
  [i170]
  Zijian Li,Xiaocheng Feng,Huixin Liu,Yichong Huang,Ting Liu,Bing Qin:
  FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging.CoRRabs/2506.02478 (2025)
• 
  [i169]
  Kai Xiong,Xiao Ding,Yixin Cao,Yuxiong Yan,Li Du,Yufei Zhang,Jinglong Gao,Jiaqian Liu,Bing Qin,Ting Liu:
  Com²: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.CoRRabs/2506.07064 (2025)
• 
  [i168]
  Weixiang Zhao,Jiahe Guo,Yang Deng,Xingyu Sui,Yulin Hu,Yanyan Zhao,Wanxiang Che,Bing Qin,Tat-Seng Chua,Ting Liu:
  Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement.CoRRabs/2506.15647 (2025)
• 
  [i167]
  Qiming Li,Zekai Ye,Xiaocheng Feng,Weihong Zhong,Libo Qin,Ruihan Chen,Baohang Li,Kui Jiang,Yaowei Wang,Ting Liu,Bing Qin:
  CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models.CoRRabs/2506.23590 (2025)
• 2024
• 
  [j107]
  Hong Zhou,Yaobin Lu,Ling Zhao,Bin Wang,Ting Liu:
  Effective reporting system to encourage users' reporting behavior in social media platforms: an empirical study based on structural empowerment theory.Behav. Inf. Technol.43(14):3490-3509 (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 Networks176:106383 (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)
• 
  [c316]
  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.AAAI2024:19126-19134
• 
  [c315]
  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
• 
  [c314]
  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
• 
  [c313]
  Yang Zhao,Li Du,Xiao Ding,Kai Xiong,Zhouhao Sun,Shi Jun,Ting Liu,Bing Qin:
  Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.ACL (Findings)2024:9386-9406
• 
  [c312]
  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
• 
  [c311]
  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
• 
  [c310]
  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
• 
  [c309]
  Zijian Li,Sendong Zhao,Haochun Wang,Haoming Xu,Bing Qin,Ting Liu:
  CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark.BIBM2024:3402-3407
• 
  [c308]
  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/COLING2024:1563-1576
• 
  [c307]
  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/COLING2024:14215-14226
• 
  [c306]
  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/COLING2024:16527-16538
• 
  [c305]
  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.EMNLP2024:5028-5041
• 
  [c304]
  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
• 
  [c303]
  Ruiyu Xiao,Lei Wu,Yuhang Gou,Weinan Zhang,Ting Liu:
  Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation.EMNLP2024:18995-19008
• 
  [c302]
  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.NeurIPS2024
• 
  [c301]
  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.NeurIPS2024
• 
  [c300]
  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
• 
  [i166]
  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.CoRRabs/2401.05072 (2024)
• 
  [i165]
  Haochun Wang,Sendong Zhao,Zewen Qiang,Nuwa Xi,Bing Qin,Ting Liu:
  Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis.CoRRabs/2401.16107 (2024)
• 
  [i164]
  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.CoRRabs/2402.01349 (2024)
• 
  [i163]
  Qi Shi,Han Cui,Haofeng Wang,Qingfu Zhu,Wanxiang Che,Ting Liu:
  Exploring Hybrid Question Answering via Program-based Prompting.CoRRabs/2402.10812 (2024)
• 
  [i162]
  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.CoRRabs/2402.11537 (2024)
• 
  [i161]
  Nuwa Xi,Yuhan Chen,Sendong Zhao,Haochun Wang,Bing Qin,Ting Liu:
  AS-ES Learning: Towards Efficient CoT Learning in Small Models.CoRRabs/2403.01969 (2024)
• 
  [i160]
  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.CoRRabs/2403.09085 (2024)
• 
  [i159]
  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.CoRRabs/2403.16662 (2024)
• 
  [i158]
  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.CoRRabs/2404.01677 (2024)
• 
  [i157]
  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.CoRRabs/2404.12715 (2024)
• 
  [i156]
  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.CoRRabs/2405.02933 (2024)
• 
  [i155]
  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.CoRRabs/2406.18020 (2024)
• 
  [i154]
  Jinglong Gao,Xiao Ding,Yiming Cui,Jianbai Zhao,Hepeng Wang,Ting Liu,Bing Qin:
  Self-Evolving GPT: A Lifelong Autonomous Experiential Learner.CoRRabs/2407.08937 (2024)
• 
  [i153]
  Jinglong Gao,Chen Lu,Xiao Ding,Zhongyang Li,Ting Liu,Bing Qin:
  Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion.CoRRabs/2408.03079 (2024)
• 
  [i152]
  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.CoRRabs/2408.11431 (2024)
• 
  [i151]
  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.CoRRabs/2408.12942 (2024)
• 
  [i150]
  Yang Zhao,Li Du,Xiao Ding,Kai Xiong,Ting Liu,Bing Qin:
  Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.CoRRabs/2409.15820 (2024)
• 
  [i149]
  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.CoRRabs/2410.04407 (2024)
• 
  [i148]
  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.CoRRabs/2410.04524 (2024)
• 
  [i147]
  Longxuan Ma,Jiapeng Li,Mingda Li,Wei-Nan Zhang,Ting Liu:
  Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue.CoRRabs/2410.15970 (2024)
• 
  [i146]
  Haoyu Song,Wei-Nan Zhang,Kaiyan Zhang,Ting Liu:
  A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation.CoRRabs/2410.20174 (2024)
• 
  [i145]
  Yiming Cui,Weinan Zhang,Ting Liu:
  Visualizing attention zones in machine reading comprehension models.CoRRabs/2410.20652 (2024)
• 
  [i144]
  Wei-Nan Zhang,Yiming Cui,Kaiyan Zhang,Yifa Wang,Qingfu Zhu,Lingzhi Li,Ting Liu:
  A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation.CoRRabs/2410.20766 (2024)
• 
  [i143]
  Ruiyu Xiao,Lei Wu,Yuhang Gou,Weinan Zhang,Ting Liu:
  Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation.CoRRabs/2410.22642 (2024)
• 
  [i142]
  Longxuan Ma,Mingda Li,Weinan Zhang,Jiapeng Li,Ting Liu:
  Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey.CoRRabs/2411.09166 (2024)
• 
  [i141]
  Shuaihang Chen,Yuanxing Liu,Wei Han,Weinan Zhang,Ting Liu:
  A Survey on Multi-Generative Agent System: Recent Advances and New Frontiers.CoRRabs/2412.17481 (2024)
• 
  [i140]
  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.CoRRabs/2412.18139 (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.AAAI2023:12580-12588
• 
  [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.ICASSP2023:1-2
• 
  [i139]
  Haochun Wang,Chi Liu,Nuwa Xi,Zewen Qiang,Sendong Zhao,Bing Qin,Ting Liu:
  HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge.CoRRabs/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.CoRRabs/2305.05183 (2023)
• 
  [i137]
  Jinglong Gao,Xiao Ding,Bing Qin,Ting Liu:
  Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.AAAI2022:10454-10462
• 
  [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:
  DuReader_vis: 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.CCKS2022:111-122
• 
  [c282]
  Longxuan Ma,Ziyu Zhuang,Weinan Zhang,Mingda Li,Ting Liu:
  SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation.COLING2022:485-495
• 
  [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.COLING2022:1422-1431
• 
  [c280]
  Xiao Ding,Bowen Chen,Li Du,Bing Qin,Ting Liu:
  CogBERT: Cognition-Guided Pre-trained Language Models.COLING2022:3210-3225
• 
  [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.EMNLP2022:6426-6438
• 
  [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.EMNLP2022:7587-7598
• 
  [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.CoRRabs/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.CoRRabs/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.CoRRabs/2204.07464 (2022)
• 
  [i121]
  Li Du,Xiao Ding,Kai Xiong,Ting Liu,Bing Qin:
  e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.CoRRabs/2205.05849 (2022)
• 
  [i120]
  Li Du,Xiao Ding,Yue Zhang,Kai Xiong,Ting Liu,Bing Qin:
  A Graph Enhanced BERT Model for Event Prediction.CoRRabs/2205.10822 (2022)
• 
  [i119]
  Longxuan Ma,Ziyu Zhuang,Weinan Zhang,Mingda Li,Ting Liu:
  SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation.CoRRabs/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.CoRRabs/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?CoRRabs/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.CoRRabs/2209.06453 (2022)
• 
  [i115]
  Yiming Cui,Wanxiang Che,Shijin Wang,Ting Liu:
  LERT: A Linguistically-motivated Pre-trained Language Model.CoRRabs/2211.05344 (2022)
• 2021
• 
  [j85]
  Kai Xiong,Xiao Ding,Li Du,Ting Liu,Bing Qin:
  Heterogeneous graph knowledge enhanced stock market prediction.AI Open2:168-174 (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.AAAI2021:13027-13035
• 
  [c274]
  Yutai Hou,Yongkui Lai,Yushan Wu,Wanxiang Che,Ting Liu:
  Few-shot Learning for Multi-label Intent Detection.AAAI2021:13036-13044
• 
  [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.AAAI2021:13709-13717
• 
  [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]
  Jiefu Gong,Xiao Hu,Wei Song,Ruiji Fu,Zhichao Sheng,Bo Zhu,Shijin Wang,Ting Liu:
  IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation.ACL (demo)2021:240-248
• 
  [c269]
  Chenglei Si,Ziqing Yang,Yiming Cui,Wentao Ma,Ting Liu,Shijin Wang:
  Benchmarking Robustness of Machine Reading Comprehension Models.ACL/IJCNLP (Findings)2021:634-644
• 
  [c268]
  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
• 
  [c267]
  Yuxuan Wang,Wanxiang Che,Ivan Titov,Shay B. Cohen,Zhilin Lei,Ting Liu:
  A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples.ACL/IJCNLP (Findings)2021:2344-2354
• 
  [c266]
  Li Du,Xiao Ding,Kai Xiong,Ting Liu,Bing Qin:
  ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning.ACL/IJCNLP (1)2021:2354-2363
• 
  [c265]
  Baoxin Wang,Wanxiang Che,Dayong Wu,Shijin Wang,Guoping Hu,Ting Liu:
  Dynamic Connected Networks for Chinese Spelling Check.ACL/IJCNLP (Findings)2021:2437-2446
• 
  [c264]
  Yutai Hou,Yongkui Lai,Cheng Chen,Wanxiang Che,Ting Liu:
  Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling.ACL/IJCNLP (Findings)2021:3190-3200
• 
  [c263]
  Bo Zheng,Li Dong,Shaohan Huang,Wenhui Wang,Zewen Chi,Saksham Singhal,Wanxiang Che,Ting Liu,Xia Song,Furu Wei:
  Consistency Regularization for Cross-Lingual Fine-Tuning.ACL/IJCNLP (1)2021:3403-3417
• 
  [c262]
  Wei Song,Shuhui Zhou,Ruiji Fu,Ting Liu,Lizhen Liu:
  Verb Metaphor Detection via Contextual Relation Learning.ACL/IJCNLP (1)2021:4240-4251
• 
  [c261]
  Qingfu Zhu,Wei-Nan Zhang,Ting Liu,William Yang Wang:
  Neural Stylistic Response Generation with Disentangled Latent Variables.ACL/IJCNLP (1)2021:4391-4401
• 
  [c260]
  Weinan Zhang,Yue Zhang,Hanlin Tang,Zhengyu Zhao,Caihai Zhu,Ting Liu:
  What Did You Refer to? Evaluating Co-References in Dialogue.ACL/IJCNLP (Findings)2021:5075-5084
• 
  [c259]
  Li Du,Xiao Ding,Ting Liu,Bing Qin:
  Learning Event Graph Knowledge for Abductive Reasoning.ACL/IJCNLP (1)2021:5181-5190
• 
  [c258]
  Jiapeng Li,Mingda Li,Longxuan Ma,Weinan Zhang,Ting Liu:
  Technical Report on Shared Task in DialDoc21.DialDoc@ACL-IJCNLP2021:52-56
• 
  [c257]
  Wanxiang Che,Yunlong Feng,Libo Qin,Ting Liu:
  N-LTP: An Open-source Neural Language Technology Platform for Chinese.EMNLP (Demos)2021:42-49
• 
  [c256]
  Qi Shi,Yu Zhang,Qingyu Yin,Ting Liu:
  Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification.EMNLP (1)2021:175-184
• 
  [c255]
  Bo Zheng,Li Dong,Shaohan Huang,Saksham Singhal,Wanxiang Che,Ting Liu,Xia Song,Furu Wei:
  Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training.EMNLP (1)2021:3203-3215
• 
  [c254]
  Jihao Shi,Xiao Ding,Li Du,Ting Liu,Bing Qin:
  Neural Natural Logic Inference for Interpretable Question Answering.EMNLP (1)2021:3673-3684
• 
  [c253]
  Dechuan Teng,Libo Qin,Wanxiang Che,Sendong Zhao,Ting Liu:
  Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding.ICASSP2021:8188-8192
• 
  [c252]
  Libo Qin,Tailu Liu,Wanxiang Che,Bingbing Kang,Sendong Zhao,Ting Liu:
  A Co-Interactive Transformer for Joint Slot Filling and Intent Detection.ICASSP2021:8193-8197
• 
  [c251]
  Libo Qin,Tianbao Xie,Wanxiang Che,Ting Liu:
  A Survey on Spoken Language Understanding: Recent Advances and New Frontiers.IJCAI2021:4577-4584
• 
  [c250]
  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.IJCNN2021:1-8
• 
  [c249]
  Ziqing Yang,Yiming Cui,Chenglei Si,Wanxiang Che,Ting Liu,Shijin Wang,Guoping Hu:
  Adversarial Training for Machine Reading Comprehension with Virtual Embeddings.*SEM2021:308-313
• 
  [i114]
  Nan Shao,Yiming Cui,Ting Liu,Shijin Wang,Guoping Hu:
  Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering.CoRRabs/2102.03741 (2021)
• 
  [i113]
  Libo Qin,Tianbao Xie,Wanxiang Che,Ting Liu:
  A Survey on Spoken Language Understanding: Recent Advances and New Frontiers.CoRRabs/2103.03095 (2021)
• 
  [i112]
  Jianhua Yuan,Yanyan Zhao,Bing Qin,Ting Liu:
  Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification.CoRRabs/2104.08480 (2021)
• 
  [i111]
  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.CoRRabs/2104.12377 (2021)
• 
  [i110]
  Yiming Cui,Ting Liu,Wanxiang Che,Zhigang Chen,Shijin Wang:
  ExpMRC: Explainability Evaluation for Machine Reading Comprehension.CoRRabs/2105.04126 (2021)
• 
  [i109]
  Xiachong Feng,Xiaocheng Feng,Libo Qin,Bing Qin,Ting Liu:
  Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization.CoRRabs/2105.12544 (2021)
• 
  [i108]
  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.CoRRabs/2106.01925 (2021)
• 
  [i107]
  Ziqing Yang,Yiming Cui,Chenglei Si,Wanxiang Che,Ting Liu,Shijin Wang,Guoping Hu:
  Adversarial Training for Machine Reading Comprehension with Virtual Embeddings.CoRRabs/2106.04437 (2021)
• 
  [i106]
  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.CoRRabs/2106.06169 (2021)
• 
  [i105]
  Yutai Hou,Yongkui Lai,Cheng Chen,Wanxiang Che,Ting Liu:
  Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling.CoRRabs/2106.07343 (2021)
• 
  [i104]
  Bo Zheng,Li Dong,Shaohan Huang,Wenhui Wang,Zewen Chi,Saksham Singhal,Wanxiang Che,Ting Liu,Xia Song,Furu Wei:
  Consistency Regularization for Cross-Lingual Fine-Tuning.CoRRabs/2106.08226 (2021)
• 
  [i103]
  Zhongyang Li,Xiao Ding,Ting Liu,J. Edward Hu,Benjamin Van Durme:
  Guided Generation of Cause and Effect.CoRRabs/2107.09846 (2021)
• 
  [i102]
  Zhongyang Li,Xiao Ding,Kuo Liao,Ting Liu,Bing Qin:
  CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision.CoRRabs/2107.09852 (2021)
• 
  [i101]
  Yiming Cui,Wei-Nan Zhang,Wanxiang Che,Ting Liu,Zhigang Chen:
  Understanding Attention in Machine Reading Comprehension.CoRRabs/2108.11574 (2021)
• 
  [i100]
  Qi Shi,Yu Zhang,Qingyu Yin,Ting Liu:
  Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification.CoRRabs/2109.06480 (2021)
• 
  [i99]
  Bo Zheng,Li Dong,Shaohan Huang,Saksham Singhal,Wanxiang Che,Ting Liu,Xia Song,Furu Wei:
  Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training.CoRRabs/2109.07306 (2021)
• 2020
• 
  [j75]
  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)
• 
  [j74]
  Yu Zhang,Mingxiang Tuo,Qingyu Yin,Le Qi,Xuxiang Wang,Ting Liu:
  Keywords extraction with deep neural network model.Neurocomputing383:113-121 (2020)
• 
  [j73]
  Yuxuan Wang,Yutai Hou,Wanxiang Che,Ting Liu:
  From static to dynamic word representations: a survey.Int. J. Mach. Learn. Cybern.11(7):1611-1630 (2020)
• 
  [j72]
  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)
• 
  [j71]
  Qingyu Yin,Weinan Zhang,Yu Zhang,Ting Liu:
  Chinese Zero Pronoun Resolution: A Collaborative Filtering-based Approach.ACM Trans. Asian Low Resour. Lang. Inf. Process.19(1):3:1-3:20 (2020)
• 
  [j70]
  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)
• 
  [j69]
  Qingfu Zhu,Weinan Zhang,Lei Cui,Ting Liu:
  Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems.ACM Trans. Asian Low Resour. Lang. Inf. Process.19(2):18:1-18:18 (2020)
• 
  [j68]
  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)
• 
  [j67]
  Jizhou Huang,Haifeng Wang,Wei Zhang,Ting Liu:
  Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search.ACM Trans. Intell. Syst. Technol.11(5):54:1-54:24 (2020)
• 
  [j66]
  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)
• 
  [c248]
  Yiming Cui,Wanxiang Che,Wei-Nan Zhang,Ting Liu,Shijin Wang,Guoping Hu:
  Discriminative Sentence Modeling for Story Ending Prediction.AAAI2020:7602-7609
• 
  [c247]
  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.AAAI2020:7716-7723
• 
  [c246]
  Libo Qin,Wanxiang Che,Yangming Li,Minheng Ni,Ting Liu:
  DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification.AAAI2020:8665-8672
• 
  [c245]
  Xiaoming Shi,Haifeng Hu,Wanxiang Che,Zhongqian Sun,Ting Liu,Junzhou Huang:
  Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses.AAAI2020:8838-8845
• 
  [c244]
  Haoyu Song,Wei-Nan Zhang,Jingwen Hu,Ting Liu:
  Generating Persona Consistent Dialogues by Exploiting Natural Language Inference.AAAI2020:8878-8885
• 
  [c243]
  Shaolei Wang,Wanxiang Che,Qi Liu,Pengda Qin,Ting Liu,William Yang Wang:
  Multi-Task Self-Supervised Learning for Disfluency Detection.AAAI2020:9193-9200
• 
  [c242]
  Ziqing Yang,Yiming Cui,Zhipeng Chen,Wanxiang Che,Ting Liu,Shijin Wang,Guoping Hu:
  TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing.ACL (demo)2020:9-16
• 
  [c241]
  Yangming Li,Kaisheng Yao,Libo Qin,Wanxiang Che,Xiaolong Li,Ting Liu:
  Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network.ACL2020:97-106
• 
  [c240]
  Zeming Liu,Haifeng Wang,Zheng-Yu Niu,Hua Wu,Wanxiang Che,Ting Liu:
  Towards Conversational Recommendation over Multi-Type Dialogs.ACL2020:1036-1049
• 
  [c239]
  Wentao Ma,Yiming Cui,Ting Liu,Dong Wang,Shijin Wang,Guoping Hu:
  Conversational Word Embedding for Retrieval-Based Dialog System.ACL2020:1375-1380
• 
  [c238]
  Yutai Hou,Wanxiang Che,Yongkui Lai,Zhihan Zhou,Yijia Liu,Han Liu,Ting Liu:
  Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network.ACL2020:1381-1393
• 
  [c237]
  Jun Xu,Haifeng Wang,Zheng-Yu Niu,Hua Wu,Wanxiang Che,Ting Liu:
  Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation.ACL2020:1835-1845
• 
  [c236]
  Xinwei Geng,Longyue Wang,Xing Wang,Bing Qin,Ting Liu,Zhaopeng Tu:
  How Does Selective Mechanism Improve Self-Attention Networks?ACL2020:2986-2995
• 
  [c235]
  Haoyu Song,Yan Wang,Weinan Zhang,Xiaojiang Liu,Ting Liu:
  Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation.ACL2020:5821-5831
• 
  [c234]
  Libo Qin,Xiao Xu,Wanxiang Che,Yue Zhang,Ting Liu:
  Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog.ACL2020:6344-6354
• 
  [c233]
  Bo Zheng,Haoyang Wen,Yaobo Liang,Nan Duan,Wanxiang Che,Daxin Jiang,Ming Zhou,Ting Liu:
  Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension.ACL2020:6708-6718
• 
  [c232]
  Tianwen Jiang,Ning Zhang,Ming Liu,Meng Jiang,Ting Liu,Bing Qin:
  Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.BIBM2020:275-280
• 
  [c231]
  Wentao Ma,Yiming Cui,Chenglei Si,Ting Liu,Shijin Wang,Guoping Hu:
  CharBERT: Character-aware Pre-trained Language Model.COLING2020:39-50
• 
  [c230]
  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.COLING2020:1978-1988
• 
  [c229]
  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.COLING2020:2642-2652
• 
  [c228]
  Qi Shi,Yu Zhang,Qingyu Yin,Ting Liu:
  Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification.COLING2020:5335-5346
• 
  [c227]
  Yiming Cui,Ting Liu,Ziqing Yang,Zhipeng Chen,Wentao Ma,Wanxiang Che,Shijin Wang,Guoping Hu:
  A Sentence Cloze Dataset for Chinese Machine Reading Comprehension.COLING2020:6717-6723
• 
  [c226]
  Longxu Dou,Yunlong Feng,Yuqiu Ji,Wanxiang Che,Ting Liu:
  HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser.CoNLL Shared Task2020:65-72
• 
  [c225]
  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
• 
  [c224]
  Longxuan Ma,Wei-Nan Zhang,Runxin Sun,Ting Liu:
  A Compare Aggregate Transformer for Understanding Document-grounded Dialogue.EMNLP (Findings)2020:1358-1367
• 
  [c223]
  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
• 
  [c222]
  Libo Qin,Xiao Xu,Wanxiang Che,Ting Liu:
  Towards Fine-Grained Transfer: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling.EMNLP (Findings)2020:1807-1816
• 
  [c221]
  Shaolei Wang,Zhongyuan Wang,Wanxiang Che,Ting Liu:
  Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection.EMNLP (1)2020:1813-1822
• 
  [c220]
  Wei Song,Ziyao Song,Ruiji Fu,Lizhen Liu,Miaomiao Cheng,Ting Liu:
  Discourse Self-Attention for Discourse Element Identification in Argumentative Student Essays.EMNLP (1)2020:2820-2830
• 
  [c219]
  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
• 
  [c218]
  Qingfu Zhu,Wei-Nan Zhang,Ting Liu,William Yang Wang:
  Counterfactual Off-Policy Training for Neural Dialogue Generation.EMNLP (1)2020:3438-3448
• 
  [c217]
  Haoyu Song,Yan Wang,Wei-Nan Zhang,Zhengyu Zhao,Ting Liu,Xiaojiang Liu:
  Profile Consistency Identification for Open-domain Dialogue Agents.EMNLP (1)2020:6651-6662
• 
  [c216]
  Wei Song,Kai Zhang,Ruiji Fu,Lizhen Liu,Ting Liu,Miaomiao Cheng:
  Multi-Stage Pre-training for Automated Chinese Essay Scoring.EMNLP (1)2020:6723-6733
• 
  [c215]
  Nan Shao,Yiming Cui,Ting Liu,Shijin Wang,Guoping Hu:
  Is Graph Structure Necessary for Multi-hop Question Answering?EMNLP (1)2020:7187-7192
• 
  [c214]
  Sanyuan Chen,Yutai Hou,Yiming Cui,Wanxiang Che,Ting Liu,Xiangzhan Yu:
  Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.EMNLP (1)2020:7870-7881
• 
  [c213]
  Zhongyang Li,Xiao Ding,Ting Liu,J. Edward Hu,Benjamin Van Durme:
  Guided Generation of Cause and Effect.IJCAI2020:3629-3636
• 
  [c212]
  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@COLING2020:354-360
• 
  [c211]
  Yuanxing Liu,Zhaochun Ren,Wei-Nan Zhang,Wanxiang Che,Ting Liu,Dawei Yin:
  Keywords Generation Improves E-Commerce Session-based Recommendation.WWW2020:1604-1614
• 
  [i98]
  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.CoRRabs/2002.08155 (2020)
• 
  [i97]
  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.CoRRabs/2002.10210 (2020)
• 
  [i96]
  Ziqing Yang,Yiming Cui,Zhipeng Chen,Wanxiang Che,Ting Liu,Shijin Wang,Guoping Hu:
  TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing.CoRRabs/2002.12620 (2020)
• 
  [i95]
  Nan Shao,Yiming Cui,Ting Liu,Shijin Wang,Guoping Hu:
  Is Graph Structure Necessary for Multi-hop Reasoning?CoRRabs/2004.03096 (2020)
• 
  [i94]
  Yiming Cui,Ting Liu,Ziqing Yang,Zhipeng Chen,Wentao Ma,Wanxiang Che,Shijin Wang,Guoping Hu:
  A Sentence Cloze Dataset for Chinese Machine Reading Comprehension.CoRRabs/2004.03116 (2020)
• 
  [i93]
  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.CoRRabs/2004.05080 (2020)
• 
  [i92]
  Haoyu Song,Yan Wang,Wei-Nan Zhang,Xiaojiang Liu,Ting Liu:
  Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation.CoRRabs/2004.07672 (2020)
• 
  [i91]
  Libo Qin,Xiao Xu,Wanxiang Che,Ting Liu:
  TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling.CoRRabs/2004.10087 (2020)
• 
  [i90]
  Libo Qin,Xiao Xu,Wanxiang Che,Yue Zhang,Ting Liu:
  Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog.CoRRabs/2004.11019 (2020)
• 
  [i89]
  Sanyuan Chen,Yutai Hou,Yiming Cui,Wanxiang Che,Ting Liu,Xiangzhan Yu:
  Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.CoRRabs/2004.12651 (2020)
• 
  [i88]
  Wentao Ma,Yiming Cui,Ting Liu,Dong Wang,Shijin Wang,Guoping Hu:
  Conversational Word Embedding for Retrieval-Based Dialog System.CoRRabs/2004.13249 (2020)
• 
  [i87]
  Longxuan Ma,Wei-Nan Zhang,Mingda Li,Ting Liu:
  A Survey of Document Grounded Dialogue Systems (DGDS).CoRRabs/2004.13818 (2020)
• 
  [i86]
  Yiming Cui,Wanxiang Che,Ting Liu,Bing Qin,Shijin Wang,Guoping Hu:
  Revisiting Pre-Trained Models for Chinese Natural Language Processing.CoRRabs/2004.13922 (2020)
• 
  [i85]
  Chenglei Si,Ziqing Yang,Yiming Cui,Wentao Ma,Ting Liu,Shijin Wang:
  Benchmarking Robustness of Machine Reading Comprehension Models.CoRRabs/2004.14004 (2020)
• 
  [i84]
  Qingfu Zhu,Weinan Zhang,Ting Liu,William Yang Wang:
  Counterfactual Off-Policy Training for Neural Response Generation.CoRRabs/2004.14507 (2020)
• 
  [i83]
  Libo Qin,Minheng Ni,Yue Zhang,Wanxiang Che,Yangming Li,Ting Liu:
  Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization.CoRRabs/2004.14871 (2020)
• 
  [i82]
  Xinwei Geng,Longyue Wang,Xing Wang,Bing Qin,Ting Liu,Zhaopeng Tu:
  How Does Selective Mechanism Improve Self-Attention Networks?CoRRabs/2005.00979 (2020)
• 
  [i81]
  Zeming Liu,Haifeng Wang,Zheng-Yu Niu,Hua Wu,Wanxiang Che,Ting Liu:
  Towards Conversational Recommendation over Multi-Type Dialogs.CoRRabs/2005.03954 (2020)
• 
  [i80]
  Bo Zheng,Haoyang Wen,Yaobo Liang,Nan Duan,Wanxiang Che,Daxin Jiang,Ming Zhou,Ting Liu:
  Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension.CoRRabs/2005.05806 (2020)
• 
  [i79]
  Yutai Hou,Wanxiang Che,Yongkui Lai,Zhihan Zhou,Yijia Liu,Han Liu,Ting Liu:
  Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network.CoRRabs/2006.05702 (2020)
• 
  [i78]
  Tianwen Jiang,Tong Zhao,Bing Qin,Ting Liu,Nitesh V. Chawla,Meng Jiang:
  Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network.CoRRabs/2006.09610 (2020)
• 
  [i77]
  Libo Qin,Wanxiang Che,Yangming Li,Minheng Ni,Ting Liu:
  DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification.CoRRabs/2008.06914 (2020)
• 
  [i76]
  Yutai Hou,Jiafeng Mao,Yongkui Lai,Cheng Chen,Wanxiang Che,Zhigang Chen,Ting Liu:
  FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding.CoRRabs/2009.08138 (2020)
• 
  [i75]
  Haoyu Song,Yan Wang,Wei-Nan Zhang,Zhengyu Zhao,Ting Liu,Xiaojiang Liu:
  Profile Consistency Identification for Open-domain Dialogue Agents.CoRRabs/2009.09680 (2020)
• 
  [i74]
  Wanxiang Che,Yunlong Feng,Libo Qin,Ting Liu:
  N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models.CoRRabs/2009.11616 (2020)
• 
  [i73]
  Longxuan Ma,Weinan Zhang,Runxin Sun,Ting Liu:
  A Compare Aggregate Transformer for Understanding Document-grounded Dialogue.CoRRabs/2010.00190 (2020)
• 
  [i72]
  Libo Qin,Tailu Liu,Wanxiang Che,Bingbing Kang,Sendong Zhao,Ting Liu:
  A Co-Interactive Transformer for Joint Slot Filling and Intent Detection.CoRRabs/2010.03880 (2020)
• 
  [i71]
  Dechuang Teng,Libo Qin,Wanxiang Che,Sendong Zhao,Ting Liu:
  Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding.CoRRabs/2010.03903 (2020)
• 
  [i70]
  Yutai Hou,Yongkui Lai,Yushan Wu,Wanxiang Che,Ting Liu:
  Few-shot Learning for Multi-label Intent Detection.CoRRabs/2010.05256 (2020)
• 
  [i69]
  Xiachong Feng,Xiaocheng Feng,Bing Qin,Ting Liu:
  Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.CoRRabs/2010.10044 (2020)
• 
  [i68]
  Shaolei Wang,Zhongyuan Wang,Wanxiang Che,Ting Liu:
  Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection.CoRRabs/2010.15360 (2020)
• 
  [i67]
  Wentao Ma,Yiming Cui,Chenglei Si,Ting Liu,Shijin Wang,Guoping Hu:
  CharBERT: Character-aware Pre-trained Language Model.CoRRabs/2011.01513 (2020)
• 
  [i66]
  Yiming Cui,Ting Liu,Shijin Wang,Guoping Hu:
  Unsupervised Explanation Generation for Machine Reading Comprehension.CoRRabs/2011.06737 (2020)
• 
  [i65]
  Sendong Zhao,Bing Qin,Ting Liu,Fei Wang:
  Biomedical Knowledge Graph Refinement with Embedding and Logic Rules.CoRRabs/2012.01031 (2020)
• 
  [i64]
  Xiachong Feng,Xiaocheng Feng,Bing Qin,Xinwei Geng,Ting Liu:
  Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization.CoRRabs/2012.03502 (2020)
• 
  [i63]
  Yutai Hou,Sanyuan Chen,Wanxiang Che,Cheng Chen,Ting Liu:
  C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling.CoRRabs/2012.07004 (2020)
• 
  [i62]
  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.CoRRabs/2012.13260 (2020)
• 
  [i61]
  Le Qi,Yu Zhang,Qingyu Yin,Ting Liu:
  Multiple Structural Priors Guided Self Attention Network for Language Understanding.CoRRabs/2012.14642 (2020)
• 
  [i60]
  Jun Xu,Zeyang Lei,Haifeng Wang,Zheng-Yu Niu,Hua Wu,Wanxiang Che,Ting Liu:
  Discovering Dialog Structure Graph for Open-Domain Dialog Generation.CoRRabs/2012.15543 (2020)