Zhifang Sui - RankMe

256 papers A* 37A 4B 12C 3Journal 100Unranked 98

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoLT: Reasoning with Chain of Latent Tool Calls. CoRR Fangwei Zhu, Zhifang Sui
2026	J	`jnl`	Decoding in Geometry: Alleviating Embedding-Space Crowding for Complex Reasoning. CoRR Yixin Yang, Qingxiu Dong, Zhifang Sui
2026	A*	`conf`	From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. AAAI Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang
2026	A*	`conf`	Large Language Models Struggle with Unreasonability in Math Problems. AAAI Jingyuan Ma, Damai Dai, Zihang Yuan, Rui Li, Weilin Luo, Bin Wang, Qun Liu, Lei Sha, Zhifang Sui
2026	A*	`conf`	RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. AAAI Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Weilin Luo, Bin Wang, Zhifang Sui
2026	J	`jnl`	Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity. CoRR Di Zhang, Xun Wu, Shaohan Huang, Yudong Wang, Hanyong Shao, Yingbo Hao, Zewen Chi, Li Dong, Ting Song, Yan Xia, Zhifang Sui, Furu Wei
2026	J	`jnl`	TeachBench: A Syllabus-Grounded Framework for Evaluating Teaching Ability in Large Language Models. CoRR Zheng Li, Siyao Song, Jingyuan Ma, Rui Li, Ying Zeng, Minghao Li, Zhifang Sui
2026	J	`jnl`	Towards Better RL Training Data Utilization via Second-Order Rollout. CoRR Zhe Yang, Yudong Wang, Rang Li, Zhifang Sui
2025	A*	`conf`	A Probabilistic Inference Scaling Theory for LLM Self-Correction. EMNLP Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui
2025	J	`jnl`	A Probabilistic Inference Scaling Theory for LLM Self-Correction. CoRR Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui
2025	A*	`conf`	AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization. CVPR Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu
2025	J	`jnl`	AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization. CoRR Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu
2025	J	`jnl`	Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. CoRR Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui
2025	—	`conf`	Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? EMNLP (Findings) Xiaochen Wang, Heming Xia, Jialin Song, Longyu Guan, Qingxiu Dong, Rui Li, Yixin Yang, Yifan Pu, Weiyao Luo, Yiru Wang, Xiangdi Meng, Wenjie Li, Zhifang Sui
2025	J	`jnl`	Beyond Single Frames: Can LMMs Comprehend Temporal and Contextual Narratives in Image Sequences? CoRR Xiaochen Wang, Heming Xia, Jialin Song, Longyu Guan, Yixin Yang, Qingxiu Dong, Weiyao Luo, Yifan Pu, Yiru Wang, Xiangdi Meng, Wenjie Li, Zhifang Sui
2025	J	`jnl`	Chain-of-Thought Tokens are Computer Program Variables. CoRR Fangwei Zhu, Peiyi Wang, Zhifang Sui
2025	—	`conf`	Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs. ACL (1) Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui
2025	J	`jnl`	Enhancing Reliability across Short and Long-Form QA via Reinforcement Learning. CoRR Yudong Wang, Zhe Yang, Wenhan Ma, Zhifang Sui, Liang Zhao
2025	A*	`conf`	Exploring Activation Patterns of Parameters in Language Models. AAAI Yudong Wang, Damai Dai, Zhe Yang, Jingyuan Ma, Zhifang Sui
2025	J	`jnl`	From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. CoRR Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang
2025	J	`jnl`	GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation. CoRR Rang Li, Lei Li, Shuhuai Ren, Hao Tian, Shuhao Gu, Shicheng Li, Zihao Yue, Yudong Wang, Wenhan Ma, Zhe Yang, Jingyuan Ma, Zhifang Sui, Fuli Luo
2025	J	`jnl`	HauntAttack: When Attack Follows Reasoning as a Shadow. CoRR Jingyuan Ma, Rui Li, Zheng Li, Junfeng Liu, Lei Sha, Zhifang Sui
2025	—	`conf`	How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. ACL (Findings) Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui
2025	J	`jnl`	How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. CoRR Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui
2025	J	`jnl`	KnowLogic: A Benchmark for Commonsense Reasoning via Knowledge-Driven Data Synthesis. CoRR Weidong Zhan, Yue Wang, Nan Hu, Liming Xiao, Jingyuan Ma, Yuhang Qin, Zheng Li, Yixin Yang, Sirui Deng, Jinkun Ding, Wenhan Ma, Rui Li, Weilin Luo, Qun Liu, Zhifang Sui
2025	J	`jnl`	LLM-REVal: Can We Trust LLM Reviewers Yet? CoRR Rui Li, Jia-Chen Gu, Po-Nien Kung, Heming Xia, Junfeng Liu, Xiangwen Kong, Zhifang Sui, Nanyun Peng
2025	B	`conf`	Language Models Encode the Value of Numbers Linearly. COLING Fangwei Zhu, Damai Dai, Zhifang Sui
2025	J	`jnl`	RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. CoRR Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Zhifang Sui
2025	J	`jnl`	Reinforcement Pre-Training. CoRR Qingxiu Dong, Li Dong, Yao Tang, Tianzhu Ye, Yutao Sun, Zhifang Sui, Furu Wei
2025	—	`conf`	SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine. NAACL (Findings) Xiaochen Wang, Junqing He, Liang Chen, Gholamreza Haffari, Yiru Wang, Zhe Yang, Xiangdi Meng, Kunhao Pan, Zhifang Sui
2025	A*	`conf`	Self-Boosting Large Language Models with Synthetic Preference Data. ICLR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2025	J	`jnl`	SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning. CoRR Zheng Li, Qingxiu Dong, Jingyuan Ma, Di Zhang, Zhifang Sui
2025	J	`jnl`	Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers. CoRR Wenhan Ma, Hailin Zhang, Liang Zhao, Yifan Song, Yudong Wang, Zhifang Sui, Fuli Luo
2025	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. Trans. Mach. Learn. Res. Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
2025	—	`conf`	Towards Harmonized Uncertainty Estimation for Large Language Models. ACL (1) Rui Li, Jing Long, Muge Qi, Heming Xia, Lei Sha, Peiyi Wang, Zhifang Sui
2025	J	`jnl`	Towards Harmonized Uncertainty Estimation for Large Language Models. CoRR Rui Li, Jing Long, Muge Qi, Heming Xia, Lei Sha, Peiyi Wang, Zhifang Sui
2025	J	`jnl`	Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts. CoRR Di Zhang, Xun Wu, Shaohan Huang, Yaru Hao, Li Dong, Zewen Chi, Zhifang Sui, Furu Wei
2024	A*	`conf`	A Survey on In-context Learning. EMNLP Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui
2024	—	`conf`	Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. ACL (Findings) Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu
2024	—	`conf`	Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. EMNLP (Findings) Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui
2024	A*	`conf`	Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui
2024	J	`jnl`	Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? CoRR Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui
2024	—	`conf`	Can Large Multimodal Models Uncover Deep Semantics Behind Images? ACL (Findings) Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui
2024	J	`jnl`	Can Large Multimodal Models Uncover Deep Semantics Behind Images? CoRR Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui
2024	J	`jnl`	Chip-Tuning: Classify Before Language Models Say. CoRR Fangwei Zhu, Dian Li, Jiajun Huang, Gang Liu, Hui Wang, Zhifang Sui
2024	J	`jnl`	Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs. CoRR Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui
2024	—	`conf`	DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. ACL (1) Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang
2024	J	`jnl`	DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. CoRR Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang
2024	J	`jnl`	Exploring Activation Patterns of Parameters in Language Models. CoRR Yudong Wang, Damai Dai, Zhifang Sui
2024	J	`jnl`	FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering. CoRR Xiaochen Wang, Junqing He, Zhe Yang, Yiru Wang, Xiangdi Meng, Kunhao Pan, Zhifang Sui
2024	—	`conf`	FaGANet: An Evidence-Based Fact-Checking Model with Integrated Encoder Leveraging Contextual Information. LREC/COLING Weiyao Luo, Junfeng Ran, Zailong Tian, Sujian Li, Zhifang Sui
2024	J	`jnl`	Language Models Understand Numbers, at Least Partially. CoRR Fangwei Zhu, Damai Dai, Zhifang Sui
2024	J	`jnl`	Large Language Models Are Unconscious of Unreasonability in Math Problems. CoRR Jingyuan Ma, Damai Dai, Zhifang Sui
2024	—	`conf`	Large Language Models are not Fair Evaluators. ACL (1) Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui
2024	—	`conf`	Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. ACL (1) Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui
2024	J	`jnl`	PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. CoRR Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui
2024	J	`jnl`	Plug-and-Play Training Framework for Preference Optimization. CoRR Jingyuan Ma, Rui Li, Zheng Li, Lei Sha, Zhifang Sui
2024	J	`jnl`	Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition. CoRR Fangwei Zhu, Peiyi Wang, Zhifang Sui
2024	J	`jnl`	SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine. CoRR Xiaochen Wang, Junqing He, Liang Chen, Reza Haf, Zhe Yang, Yiru Wang, Xiangdi Meng, Kunhao Pan, Zhifang Sui
2024	J	`jnl`	Self-Boosting Large Language Models with Synthetic Preference Data. CoRR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2024	—	`conf`	ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. EMNLP (Findings) Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang
2024	J	`jnl`	ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. CoRR Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang
2024	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
2024	—	`conf`	Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens. EMNLP (Findings) Weiyao Luo, Suncong Zheng, Heming Xia, Weikang Wang, Yan Lei, Tianyu Liu, Shuang Chen, Zhifang Sui
2024	J	`jnl`	Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens. CoRR Weiyao Luo, Suncong Zheng, Heming Xia, Weikang Wang, Yan Lei, Tianyu Liu, Shuang Chen, Zhifang Sui
2024	J	`jnl`	Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang
2024	—	`conf`	Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. ACL (Findings) Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
2024	J	`jnl`	Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. CoRR Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
2023	J	`jnl`	A Survey for In-context Learning. CoRR Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui
2023	—	`conf`	Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. EMNLP (Findings) Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023	J	`jnl`	Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization. CoRR Shoujie Tong, Heming Xia, Damai Dai, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023	—	`conf`	Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. NLPCC (2) Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui
2023	—	`conf`	Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. ACL (1) Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023	J	`jnl`	Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. CoRR Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023	—	`conf`	DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. EMNLP (Findings) Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023	—	`conf`	Enhancing Continual Relation Extraction via Classifier Decomposition. ACL (Findings) Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023	J	`jnl`	Enhancing Continual Relation Extraction via Classifier Decomposition. CoRR Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023	—	`conf`	Guiding AMR Parsing with Reverse Graph Linearization. EMNLP (Findings) Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang
2023	J	`jnl`	Guiding AMR Parsing with Reverse Graph Linearization. CoRR Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang
2023	—	`conf`	ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. EMNLP (Findings) Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui
2023	J	`jnl`	ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. CoRR Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui
2023	—	`conf`	InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. EMNLP (Findings) Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li
2023	J	`jnl`	InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. CoRR Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li
2023	J	`jnl`	Large Language Model for Science: A Study on P vs. NP. CoRR Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, Furu Wei
2023	J	`jnl`	Large Language Models are not Fair Evaluators. CoRR Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui
2023	—	`conf`	Learn to Not Link: Exploring NIL Prediction in Entity Linking. ACL (Findings) Fangwei Zhu, Jifan Yu, Hailong Jin, Lei Hou, Juanzi Li, Zhifang Sui
2023	J	`jnl`	Learn to Not Link: Exploring NIL Prediction in Entity Linking. CoRR Fangwei Zhu, Jifan Yu, Hailong Jin, Juanzi Li, Lei Hou, Zhifang Sui
2023	J	`jnl`	Making Large Language Models Better Reasoners with Alignment. CoRR Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui
2023	J	`jnl`	Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. CoRR Peiyi Wang, Lei Li, Zhihong Shao, R. X. Xu, Damai Dai, Yifei Li, Deli Chen, Y. Wu, Zhifang Sui
2023	—	`conf`	Mixture-of-Experts for Biomedical Question Answering. NLPCC (1) Damai Dai, Wenbin Jiang, Jiyuan Zhang, Yajuan Lyu, Zhifang Sui, Baobao Chang
2023	—	`conf`	Neural Knowledge Bank for Pretrained Transformers. NLPCC (2) Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui
2023	—	`conf`	Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. EMNLP (Findings) Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui
2023	J	`jnl`	Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. CoRR Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui
2023	J	`jnl`	RepCL: Exploring Effective Representation for Continual Text Classification. CoRR Yifan Song, Peiyi Wang, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li
2023	—	`conf`	Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. EMNLP (Findings) Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui
2023	J	`jnl`	Statistical Knowledge Assessment for Generative Language Models. CoRR Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
2023	A*	`conf`	Statistical Knowledge Assessment for Large Language Models. NeurIPS Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
2023	—	`conf`	Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. ACL (Findings) Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei
2022	—	`conf`	A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. ACL (1) Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan
2022	—	`conf`	A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
2022	J	`jnl`	A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
2022	—	`conf`	ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022	J	`jnl`	ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022	—	`conf`	An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
2022	—	`conf`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen
2022	—	`conf`	CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu
2022	—	`conf`	Calibrating Factual Knowledge in Pretrained Language Models. EMNLP (Findings) Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
2022	J	`jnl`	Calibrating Factual Knowledge in Pretrained Language Models. CoRR Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
2022	J	`jnl`	DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. CoRR Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao
2022	—	`conf`	DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. EMNLP (Findings) Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui
2022	J	`jnl`	DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. CoRR Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui
2022	A*	`conf`	HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. EMNLP Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang
2022	J	`jnl`	HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. CoRR Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang
2022	—	`conf`	Hierarchical Curriculum Learning for AMR Parsing. ACL (2) Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui
2022	—	`conf`	Knowledge Neurons in Pretrained Transformers. ACL (1) Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei
2022	A*	`conf`	Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. EMNLP Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui
2022	J	`jnl`	Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. CoRR Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui
2022	J	`jnl`	Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. CoRR Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui
2022	J	`jnl`	Lossless Speedup of Autoregressive Translation with Generalized Aggressive Decoding. CoRR Heming Xia, Tao Ge, Furu Wei, Zhifang Sui
2022	J	`jnl`	Mixture of Experts for Biomedical Question Answering. CoRR Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu
2022	J	`jnl`	Neural Knowledge Bank for Pretrained Transformers. CoRR Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui
2022	—	`conf`	Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. NLPCC (2) Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang
2022	—	`conf`	Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui
2022	A*	`conf`	Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
2022	J	`jnl`	Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
2022	—	`conf`	StableMoE: Stable Routing Strategy for Mixture of Experts. ACL (1) Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
2022	J	`jnl`	StableMoE: Stable Routing Strategy for Mixture of Experts. CoRR Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
2022	J	`jnl`	Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. CoRR Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui
2022	J	`jnl`	Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. CoRR Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei
2021	J	`jnl`	A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. CoRR Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan
2021	J	`jnl`	An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
2021	A	`conf`	Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
2021	J	`jnl`	Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
2021	J	`jnl`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen
2021	J	`jnl`	CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun
2021	—	`conf`	Chinese Predicate Chunk Knowledge Base Construction and Internal Boundary Recognition. CLSW (2) Chengwen Wang, Xiang Liu, Gaoqi Rao, Endong Xun, Zhifang Sui
2021	—	`conf`	Chunk Extraction and Analysis Based on Frame-Verbs. CLSW (1) Chengwen Wang, Gaoqi Rao, Endong Xun, Zhifang Sui
2021	—	`conf`	Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu
2021	J	`jnl`	Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui
2021	—	`conf`	Formalized Chinese Sentence Pattern Structure and Its Hierarchical Analysis. CLSW (1) Weiming Peng, Zuntian Wei, Jihua Song, Shiwen Yu, Zhifang Sui
2021	J	`jnl`	Hierarchical Curriculum Learning for AMR Parsing. CoRR Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui
2021	J	`jnl`	Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. CoRR Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang
2021	—	`conf`	Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. RepL4NLP@ACL-IJCNLP Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui
2021	J	`jnl`	Knowledge Neurons in Pretrained Transformers. CoRR Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei
2021	J	`jnl`	Problems and Countermeasures in Natural Language Processing Evaluation. CoRR Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang
2021	A*	`conf`	Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2021	J	`jnl`	Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. CoRR Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2021	—	`conf`	XGPT: Cross-modal Generative Pre-Training for Image Captioning. NLPCC (1) Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Ming Zhou
2020	—	`conf`	A Spectral Method for Unsupervised Multi-Document Summarization. EMNLP (1) Kexiang Wang, Baobao Chang, Zhifang Sui
2020	B	`conf`	An Anchor-Based Automatic Evaluation Metric for Document Summarization. COLING Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui
2020	B	`conf`	An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoNLL Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui
2020	J	`jnl`	An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoRR Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui
2020	—	`conf`	Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. CLSW Hongying Zan, Wenxin Li, Kunli Zhang, Yajuan Ye, Baobao Chang, Zhifang Sui
2020	J	`jnl`	Coarse-to-Fine Entity Representations for Document-level Relation Extraction. CoRR Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui
2020	—	`conf`	Construction of Chinese Medicine Knowledge Base. CLSW Kunli Zhang, Xiaohui Ren, Lei Zhuang, Hongying Zan, Weicong Zhang, Zhifang Sui
2020	—	`conf`	Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
2020	J	`jnl`	Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
2020	B	`conf`	HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. LREC Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2020	J	`jnl`	HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. CoRR Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2020	J	`jnl`	Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. CoRR Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui
2020	J	`jnl`	Multi-View Learning for Vision-and-Language Navigation. CoRR Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith
2020	A	`conf`	Soap: Soaking Capacity Optimization for Multi-Document Summarization. CIKM Kexiang Wang, Baobao Chang, Zhifang Sui
2020	J	`jnl`	XGPT: Cross-modal Generative Pre-Training for Image Captioning. CoRR Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou
2019	A*	`conf`	A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui
2019	J	`jnl`	A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun
2019	—	`conf`	Construction of the Contemporary Chinese Common Verbs' Semantic Framework Dictionary. CLSW Tongfeng Guan, Kunli Zhang, Xuemin Duan, Hongying Zan, Zhifang Sui
2019	A*	`conf`	Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. AAAI Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui
2019	—	`conf`	Learning to Control the Fine-grained Sentiment for Story Ending Generation. ACL (1) Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun
2019	—	`conf`	Pun-GAN: Generative Adversarial Network for Pun Generation. EMNLP/IJCNLP (1) Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun
2019	J	`jnl`	Pun-GAN: Generative Adversarial Network for Pun Generation. CoRR Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun
2019	—	`conf`	Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL (1) Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui
2019	—	`conf`	Towards Fine-grained Text Sentiment Transfer. ACL (1) Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun
2019	A*	`conf`	WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks. AAAI Zijian Hu, Fuli Luo, Yutong Tan, Wenxin Zeng, Zhifang Sui
2018	A*	`conf`	A Multi-View Fusion Neural Network for Answer Selection. AAAI Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui
2018	—	`conf`	A Research on Construction of Knowledge Fusion Network in Chinese and English Languages. CLSW Odmaa Byambasuren, Zhifang Sui, Baobao Chang
2018	B	`conf`	EventWiki: A Knowledge Base of Major Events. LREC Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou
2018	A*	`conf`	Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. EMNLP Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou
2018	—	`conf`	Incorporating Glosses into Neural Word Sense Disambiguation. ACL (1) Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui
2018	J	`jnl`	Incorporating Glosses into Neural Word Sense Disambiguation. CoRR Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui
2018	A*	`conf`	Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. AAAI Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui
2018	A*	`conf`	Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang
2018	A	`conf`	Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. CIKM Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, Zhifang Sui
2018	A*	`conf`	Order-Planning Neural Text Generation From Structured Data. AAAI Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
2018	B	`conf`	Revisiting Distant Supervision for Relation Extraction. LREC Tingsong Jiang, Jing Liu, Chin-Yew Lin, Zhifang Sui
2018	—	`conf`	SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. NLPCC (2) Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou
2018	A*	`conf`	Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui
2017	—	`conf`	A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui
2017	A*	`conf`	A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. EMNLP Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui
2017	A*	`conf`	Affinity-Preserving Random Walk for Multi-Document Summarization. EMNLP Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang
2017	—	`conf`	Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. NLPCC Tianyu Liu, Bingzhen Wei, Baobao Chang, Zhifang Sui
2017	J	`jnl`	Order-Planning Neural Text Generation From Structured Data. CoRR Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
2017	—	`ed.`	Proceedings of the 9th SIGHAN Workshop on Chinese Language Processing, SIGHAN@IJCNLP 2017, Taipei, Taiwan, December 1, 2017 SIGHAN@IJCNLP Yue Zhang, Zhifang Sui
2017	—	`conf`	Study on the Annotation Framework of Chinese Logic Complement Semantics. CLSW Kunli Zhang, Yingjie Han, Yuxiang Jia, Lingling Mu, Zhifang Sui, Hongying Zan
2017	J	`jnl`	Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui
2017	—	`conf`	Will Repeated Reading Benefit Natural Language Understanding? NLPCC Lei Sha, Feng Qian, Zhifang Sui
2016	J	`jnl`	Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment. CoRR Tao Ge, Qing Dou, Xiaoman Pan, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou
2016	A*	`conf`	Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang
2016	—	`conf`	Discovering Concept-Level Event Associations from a Text Stream. NLPCC/ICCPOL Tao Ge, Lei Cui, Heng Ji, Baobao Chang, Zhifang Sui
2016	A*	`conf`	Encoding Temporal Information for Time-Aware Link Prediction. EMNLP Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	B	`conf`	Event Detection with Burst Information Networks. COLING Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou
2016	A*	`conf`	Implicit Discourse Relation Classification via Multi-Task Neural Networks. AAAI Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui
2016	J	`jnl`	Implicit Discourse Relation Classification via Multi-Task Neural Networks. CoRR Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui
2016	—	`conf`	Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	J	`jnl`	Joint Learning Templates and Slots for Event Schema Induction. CoRR Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	A*	`conf`	News Stream Summarization using Burst Information Networks. EMNLP Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui
2016	—	`conf`	RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. ACL (1) Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui
2016	B	`conf`	Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li
2016	—	`conf`	Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	—	`conf`	Study on Modality Annotation Framework of Modern Chinese. CLSW Kunli Zhang, Lingling Mu, Hongying Zan, Yingjie Han, Zhifang Sui
2016	B	`conf`	Towards Time-Aware Knowledge Graph Completion. COLING Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui
2015	A*	`conf`	An Ontology Matching Approach Based on Affinity-Preserving Random Walks. IJCAI Chuncheng Xiang, Baobao Chang, Zhifang Sui
2015	—	`conf`	Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. ACL (1) Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui
2015	A*	`conf`	Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks. EMNLP Zhen Wang, Tingsong Jiang, Baobao Chang, Zhifang Sui
2015	—	`conf`	Distantly Supervised Neural Network Model for Relation Extraction. CCL Zhen Wang, Baobao Chang, Zhifang Sui
2015	C	`conf`	Distinguishing Specific and Daily Topics. APWeb Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui
2015	A*	`conf`	ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. EMNLP Chuncheng Xiang, Tingsong Jiang, Baobao Chang, Zhifang Sui
2015	—	`conf`	Formal Schema of Diagrammatic Chinese Syntactic Analysis. CLSW Weiming Peng, Jihua Song, Zhifang Sui, Dongdong Guo
2015	—	`conf`	One Tense per Scene: Predicting Tense in Chinese Conversations. ACL (2) Tao Ge, Heng Ji, Baobao Chang, Zhifang Sui
2015	—	`ed.`	Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, SIGHAN@IJCNLP 2015, Beijing, China, July 30-31, 2015 SIGHAN@IJCNLP Liang-Chih Yu, Zhifang Sui, Yue Zhang, Vincent Ng
2015	A*	`conf`	Recognizing Textual Entailment Using Probabilistic Inference. EMNLP Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang
2014	—	`conf`	A semi-supervised method for opinion target extraction. WWW (Companion Volume) Tao Ge, Wenjie Li, Zhifang Sui
2014	—	`conf`	Event Schema Induction Based on Relational Co-occurrence over Multiple Documents. NLPCC Tingsong Jiang, Lei Sha, Zhifang Sui
2014	—	`conf`	The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bake-off. CIPS-SIGHAN Huiming Duan, Zhifang Sui, Tao Ge
2014	—	`conf`	The Construction of language Resource and Knowledge Base for Chinese Language Computing. CIPS-SIGHAN Zhifang Sui
2013	A*	`conf`	Event-Based Time Label Propagation for Automatic Dating of News Articles. EMNLP Tao Ge, Baobao Chang, Sujian Li, Zhifang Sui
2013	A	`conf`	Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. CIKM Tao Ge, Zhifang Sui, Baobao Chang
2013	—	`conf`	Learning to Extract Attribute Values from a Search Engine with Few Examples. CCL Xingxing Zhang, Tao Ge, Zhifang Sui
2013	—	`conf`	Towards Accurate Distant Supervision for Relational Facts Extraction. ACL (2) Xingxing Zhang, Jianwen Zhang, Junyu Zeng, Jun Yan, Zheng Chen, Zhifang Sui
2012	—	`conf`	Fine-Grained Classification of Named Entities by Fusing Multi-Features. COLING (Posters) Wenjie Li, Jiwei Li, Ye Tian, Zhifang Sui
2012	—	`conf`	The CIPS-SIGHAN CLP 2012 ChineseWord Segmentation onMicroBlog Corpora Bakeoff. CIPS-SIGHAN Huiming Duan, Zhifang Sui, Ye Tian, Wenjie Li
2010	—	`conf`	A lightweight Chinese semantic dependency parsing model based on sentence compression. NLPKE Xin Wang, Weiwei Sun, Zhifang Sui
2010	—	`conf`	Chinese semantic role labeling based on semantic knowledge. NLPKE Yanqiu Shao, Zhifang Sui, Ning Mao
2010	—	`conf`	The Chinese Noun Metaphors Knowledge Base and its Use in the Recognition of Metaphors. Web Intelligence/IAT Workshops Zhimin Wang, Shiwen Yu, Zhifang Sui
2010	—	`conf`	The Development of an NLP-Based Chinese Ontology Construction Platform. Web Intelligence/IAT Workshops Zhifang Sui, Yao Liu, Jun Zhao, Hong Zhang
2009	—	`conf`	An Integrated Approach for Concept Learning and Relation Extraction. ICCPOL Qingliang Zhao, Zhifang Sui
2009	C	`conf`	Chinese Function Tag Labeling. PACLIC Weiwei Sun, Zhifang Sui
2009	A*	`conf`	Chinese Semantic Role Labeling with Shallow Parsing. EMNLP Weiwei Sun, Zhifang Sui, Meng Wang, Xin Wang
2009	—	`conf`	Discriminatively Modeling Commonality of Term Types for Extracting Relation from Small Corpora. Web Intelligence/IAT Workshops Zhifang Sui, Yao Liu, Yongwei Hu
2009	—	`conf`	Prediction of Thematic Rank for Structured Semantic Role Labeling. ACL/IJCNLP (2) Weiwei Sun, Zhifang Sui, Meng Wang
2009	—	`conf`	Research on Automatic Chinese Multi-word Term Extraction Based on Integration of Web Information and Term Component. Web Intelligence/IAT Workshops Wei Kang, Zhifang Sui, Yao Liu
2009	—	`conf`	Research on Automatic Chinese Multi-word Term Extraction Based on Term Component. ICCPOL Wei Kang, Zhifang Sui
2008	J	`jnl`	A WSD Model for Corpus Construction. Int. J. Comput. Process. Orient. Lang. Weiguang Qu, Sujian Li, Xiaojun Zhang, Yunfang Wu, Zhifang Sui, Shiwen Yu
2008	—	`conf`	Extracting Hyponymy Relation between Chinese Terms. AIRS Yongwei Hu, Zhifang Sui
2008	B	`conf`	Prediction of Maximal Projection for Semantic Role Labeling. COLING Weiwei Sun, Zhifang Sui, Haifeng Wang
2008	—	`conf`	Research on Non-interactive Literature-Based Knowledge Discovery. CSSE (1) Yao Liu, Zhou Yang Zhou, Zhifang Sui, Zhenguo Wang
2008	—	`conf`	Research on the Key Technology Based-NLP Of Chinese Medicine Pulse's Mathematical Quantifying. Web Intelligence/IAT Workshops Yao Liu, Zhifang Sui, Yang Zhou, Zhenguo Wang
2008	—	`conf`	The Building of a CBD-Based Domain Ontology in Chinese. Web Intelligence/IAT Workshops Zhifang Sui, Jun Zhao, Wei Kang, Qingliang Zhao
2008	B	`conf`	The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models. CoNLL Weiwei Sun, Hongzhan Li, Zhifang Sui
2008	—	`conf`	To extract Ontology attribute value automatically based on WWW. NLPKE Qingliang Zhao, Zhifang Sui
2007	C	`conf`	A Collocation-Based WSD Model: RFR-SUM. IEA/AIE Weiguang Qu, Zhifang Sui, Genlin Ji, Shiwen Yu, Junsheng Zhou
2006	B	`conf`	A Study on Terminology Extraction Based on Classified Corpora. LREC Yi-Rong Chen, Qin Lu, Wenjie Li, Zhifang Sui, Luning Ji
2006	—	`conf`	On Method and Automatic Construction Theory of Domain Ontology Based on Depended Text. ICICIC (2) Yao Liu, Zhifang Sui, Xuefei Chen
2005	—	`conf`	Domain Knowledge Engineering Based on Encyclopedias and the Web Text. ALR/ALRN@IJCNLP Zhifang Sui, Gaoying Cui, Wansong Ding, Qinlong Zhang
2000	A*	`conf`	An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing. ACL Zhifang Sui, Jun Zhao, Dekai Wu
1999	A*	`conf`	An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models. EMNLP Dekai Wu, Jun Zhao, Zhifang Sui
1999	—	`conf`	An information-based method for selecting feature types for word prediction. EUROSPEECH Dekai Wu, Zhifang Sui, Jun Zhao