An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models. - Dekai Wu; Jun Zhao 001; Zhifang Sui (EMNLP, 1999)

An information-based method for selecting feature types for word prediction. - Dekai Wu; Zhifang Sui; Jun Zhao 001 (EUROSPEECH, 1999)

An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing. - Zhifang Sui; Jun Zhao 001; Dekai Wu (ACL, 2000)

Domain Knowledge Engineering Based on Encyclopedias and the Web Text. - Zhifang Sui; Gaoying Cui; Wansong Ding; Qinlong Zhang (ALR/ALRN@IJCNLP, 2005)

On Method and Automatic Construction Theory of Domain Ontology Based on Depended Text. - Yao Liu; Zhifang Sui; Xuefei Chen (ICICIC (2), 2006)

A Study on Terminology Extraction Based on Classified Corpora. - Yi-Rong Chen; Qin Lu 001; Wenjie Li 002; Zhifang Sui; Luning Ji (LREC, 2006)

A Collocation-Based WSD Model: RFR-SUM. - Weiguang Qu; Zhifang Sui; Genlin Ji; Shiwen Yu; Junsheng Zhou (IEA/AIE, 2007)

Extracting Hyponymy Relation between Chinese Terms. - Yongwei Hu; Zhifang Sui (AIRS, 2008)

Prediction of Maximal Projection for Semantic Role Labeling. - Weiwei Sun 007; Zhifang Sui; Haifeng Wang (COLING, 2008)

The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models. - Weiwei Sun; Hongzhan Li; Zhifang Sui (CoNLL, 2008)

Research on Non-interactive Literature-Based Knowledge Discovery. - Yao Liu; Zhou Yang Zhou; Zhifang Sui; Zhenguo Wang (CSSE (1), 2008)

Research on the Key Technology Based-NLP Of Chinese Medicine Pulse's Mathematical Quantifying. - Yao Liu; Zhifang Sui; Yang Zhou; Zhenguo Wang (Web Intelligence/IAT Workshops, 2008)

The Building of a CBD-Based Domain Ontology in Chinese. - Zhifang Sui; Jun Zhao; Wei Kang 007; Qingliang Zhao (Web Intelligence/IAT Workshops, 2008)

To extract Ontology attribute value automatically based on WWW. - Qingliang Zhao; Zhifang Sui (NLPKE, 2008)

A WSD Model for Corpus Construction. - Weiguang Qu; Sujian Li; Xiaojun Zhang; Yunfang Wu; Zhifang Sui; Shiwen Yu (Int. J. Comput. Process. Orient. Lang., 2008)

Prediction of Thematic Rank for Structured Semantic Role Labeling. - Weiwei Sun; Zhifang Sui; Meng Wang (ACL/IJCNLP (2), 2009)

Chinese Semantic Role Labeling with Shallow Parsing. - Weiwei Sun; Zhifang Sui; Meng Wang; Xin Wang (EMNLP, 2009)

Research on Automatic Chinese Multi-word Term Extraction Based on Integration of Web Information and Term Component. - Wei Kang 007; Zhifang Sui; Yao Liu (Web Intelligence/IAT Workshops, 2009)

Discriminatively Modeling Commonality of Term Types for Extracting Relation from Small Corpora. - Zhifang Sui; Yao Liu; Yongwei Hu (Web Intelligence/IAT Workshops, 2009)

Research on Automatic Chinese Multi-word Term Extraction Based on Term Component. - Wei Kang 007; Zhifang Sui (ICCPOL, 2009)

An Integrated Approach for Concept Learning and Relation Extraction. - Qingliang Zhao; Zhifang Sui (ICCPOL, 2009)

Chinese Function Tag Labeling. - Weiwei Sun; Zhifang Sui (PACLIC, 2009)

The Development of an NLP-Based Chinese Ontology Construction Platform. - Zhifang Sui; Yao Liu; Jun Zhao; Hong Zhang (Web Intelligence/IAT Workshops, 2010)

The Chinese Noun Metaphors Knowledge Base and its Use in the Recognition of Metaphors. - Zhimin Wang; Shiwen Yu; Zhifang Sui (Web Intelligence/IAT Workshops, 2010)

Chinese semantic role labeling based on semantic knowledge. - Yanqiu Shao; Zhifang Sui; Ning Mao (NLPKE, 2010)

A lightweight Chinese semantic dependency parsing model based on sentence compression. - Xin Wang; Weiwei Sun; Zhifang Sui (NLPKE, 2010)

The CIPS-SIGHAN CLP 2012 ChineseWord Segmentation onMicroBlog Corpora Bakeoff. - Huiming Duan; Zhifang Sui; Ye Tian; Wenjie Li (CIPS-SIGHAN, 2012)

Fine-Grained Classification of Named Entities by Fusing Multi-Features. - Wenjie Li; Jiwei Li; Ye Tian; Zhifang Sui (COLING (Posters), 2012)

Towards Accurate Distant Supervision for Relational Facts Extraction. - Xingxing Zhang; Jianwen Zhang; Junyu Zeng; Jun Yan 001; Zheng Chen 001; Zhifang Sui (ACL (2), 2013)

Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. - Tao Ge 001; Zhifang Sui; Baobao Chang (CIKM, 2013)

Learning to Extract Attribute Values from a Search Engine with Few Examples. - Xingxing Zhang 002; Tao Ge 001; Zhifang Sui (CCL, 2013)

Event-Based Time Label Propagation for Automatic Dating of News Articles. - Tao Ge 001; Baobao Chang; Sujian Li; Zhifang Sui (EMNLP, 2013)

The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bake-off. - Huiming Duan; Zhifang Sui; Tao Ge 001 (CIPS-SIGHAN, 2014)

The Construction of language Resource and Knowledge Base for Chinese Language Computing. - Zhifang Sui (CIPS-SIGHAN, 2014)

Event Schema Induction Based on Relational Co-occurrence over Multiple Documents. - Tingsong Jiang; Lei Sha; Zhifang Sui (NLPCC, 2014)

A semi-supervised method for opinion target extraction. - Tao Ge 001; Wenjie Li 002; Zhifang Sui (WWW (Companion Volume), 2014)

One Tense per Scene: Predicting Tense in Chinese Conversations. - Tao Ge 001; Heng Ji 001; Baobao Chang; Zhifang Sui (ACL (2), 2015)

Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. - Tao Ge 001; Wenzhe Pei; Heng Ji 001; Sujian Li; Baobao Chang; Zhifang Sui (ACL (1), 2015)

Distinguishing Specific and Daily Topics. - Tao Ge 001; Wenzhe Pei; Baobao Chang; Zhifang Sui (APWeb, 2015)

Formal Schema of Diagrammatic Chinese Syntactic Analysis. - Weiming Peng; Jihua Song; Zhifang Sui; Dongdong Guo (CLSW, 2015)

Distantly Supervised Neural Network Model for Relation Extraction. - Zhen Wang; Baobao Chang; Zhifang Sui (CCL, 2015)

Recognizing Textual Entailment Using Probabilistic Inference. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui; Tingsong Jiang (EMNLP, 2015)

Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks. - Zhen Wang; Tingsong Jiang; Baobao Chang; Zhifang Sui (EMNLP, 2015)

ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. - Chuncheng Xiang; Tingsong Jiang; Baobao Chang; Zhifang Sui (EMNLP, 2015)

An Ontology Matching Approach Based on Affinity-Preserving Random Walks. - Chuncheng Xiang; Baobao Chang; Zhifang Sui (IJCAI, 2015)

Implicit Discourse Relation Classification via Multi-Task Neural Networks. - Yang Liu 124; Sujian Li; Xiaodong Zhang 022; Zhifang Sui (AAAI, 2016)

RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. - Lei Sha; Jing Liu 022; Chin-Yew Lin; Sujian Li; Baobao Chang; Zhifang Sui (ACL (1), 2016)

Study on Modality Annotation Framework of Modern Chinese. - Kunli Zhang; Lingling Mu; Hongying Zan; Yingjie Han; Zhifang Sui (CLSW, 2016)

Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (CCL, 2016)

Event Detection with Burst Information Networks. - Tao Ge 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Ming Zhou 001 (COLING, 2016)

Towards Time-Aware Knowledge Graph Completion. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Baobao Chang; Sujian Li; Zhifang Sui (COLING, 2016)

Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. - Lei Sha; Baobao Chang; Zhifang Sui; Sujian Li (COLING, 2016)

News Stream Summarization using Burst Information Networks. - Tao Ge 001; Lei Cui 001; Baobao Chang; Sujian Li; Ming Zhou 001; Zhifang Sui (EMNLP, 2016)

Encoding Temporal Information for Time-Aware Link Prediction. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (EMNLP, 2016)

Capturing Argument Relationship for Chinese Semantic Role Labeling. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui; Tingsong Jiang (EMNLP, 2016)

Joint Learning Templates and Slots for Event Schema Induction. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (HLT-NAACL, 2016)

Discovering Concept-Level Event Associations from a Text Stream. - Tao Ge 001; Lei Cui 001; Heng Ji 001; Baobao Chang; Zhifang Sui (NLPCC/ICCPOL, 2016)

Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment. - Tao Ge 001; Qing Dou; Xiaoman Pan; Heng Ji 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Ming Zhou 001 (CoRR, 2016)

A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. - Qiaolin Xia; Lei Sha; Baobao Chang; Zhifang Sui (ACL (1), 2017)

Study on the Annotation Framework of Chinese Logic Complement Semantics. - Kunli Zhang; Yingjie Han; Yuxiang Jia; Lingling Mu; Zhifang Sui; Hongying Zan (CLSW, 2017)

A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. - Tianyu Liu 001; Kexiang Wang; Baobao Chang; Zhifang Sui (EMNLP, 2017)

Affinity-Preserving Random Walk for Multi-Document Summarization. - Kexiang Wang; Tianyu Liu 001; Zhifang Sui; Baobao Chang (EMNLP, 2017)

Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. - Tianyu Liu 001; Bingzhen Wei; Baobao Chang; Zhifang Sui (NLPCC, 2017)

Will Repeated Reading Benefit Natural Language Understanding? - Lei Sha; Feng Qian; Zhifang Sui (NLPCC, 2017)

Table-to-Text Generation by Structure-Aware Seq2seq Learning. - Tianyu Liu 001; Kexiang Wang; Lei Sha; Baobao Chang; Zhifang Sui (AAAI, 2018)

Order-Planning Neural Text Generation From Structured Data. - Lei Sha; Lili Mou; Tianyu Liu 001; Pascal Poupart; Sujian Li; Baobao Chang; Zhifang Sui (AAAI, 2018)

Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. - Lei Sha; Feng Qian; Baobao Chang; Zhifang Sui (AAAI, 2018)

A Multi-View Fusion Neural Network for Answer Selection. - Lei Sha; Xiaodong Zhang 022; Feng Qian; Baobao Chang; Zhifang Sui (AAAI, 2018)

Incorporating Glosses into Neural Word Sense Disambiguation. - Fuli Luo; Tianyu Liu 001; Qiaolin Xia; Baobao Chang; Zhifang Sui (ACL (1), 2018)

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. - Qiaolin Xia; Peng Jiang 002; Fei Sun 001; Yi Zhang 001; Xiaobo Wang 002; Zhifang Sui (CIKM, 2018)

A Research on Construction of Knowledge Fusion Network in Chinese and English Languages. - Odmaa Byambasuren; Zhifang Sui; Baobao Chang (CLSW, 2018)

Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. - Tao Ge 001; Qing Dou; Heng Ji 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Furu Wei; Ming Zhou 001 (EMNLP, 2018)

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. - Fuli Luo; Tianyu Liu 001; Zexue He; Qiaolin Xia; Zhifang Sui; Baobao Chang (EMNLP, 2018)

EventWiki: A Knowledge Base of Major Events. - Tao Ge 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Furu Wei; Ming Zhou 001 (LREC, 2018)

Revisiting Distant Supervision for Relation Extraction. - Tingsong Jiang; Jing Liu 022; Chin-Yew Lin; Zhifang Sui (LREC, 2018)

SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. - Tao Ge 001; Lei Cui 001; Baobao Chang; Zhifang Sui; Furu Wei; Ming Zhou 001 (NLPCC (2), 2018)

WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks. - Zijian Hu; Fuli Luo; Yutong Tan; Wenxin Zeng; Zhifang Sui (AAAI, 2019)

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. - Tianyu Liu 001; Fuli Luo; Qiaolin Xia; Shuming Ma; Baobao Chang; Zhifang Sui (AAAI, 2019)

Towards Comprehensive Description Generation from Factual Attribute-value Tables. - Tianyu Liu 001; Fuli Luo; Pengcheng Yang; Wei Wu 044; Baobao Chang; Zhifang Sui (ACL (1), 2019)

Learning to Control the Fine-grained Sentiment for Story Ending Generation. - Fuli Luo; Damai Dai; Pengcheng Yang; Tianyu Liu 001; Baobao Chang; Zhifang Sui; Xu Sun 001 (ACL (1), 2019)

Towards Fine-grained Text Sentiment Transfer. - Fuli Luo; Peng Li 030; Pengcheng Yang; Jie Zhou 016; Yutong Tan; Baobao Chang; Zhifang Sui; Xu Sun 001 (ACL (1), 2019)

Construction of the Contemporary Chinese Common Verbs' Semantic Framework Dictionary. - Tongfeng Guan; Kunli Zhang; Xuemin Duan; Hongying Zan; Zhifang Sui (CLSW, 2019)

Pun-GAN: Generative Adversarial Network for Pun Generation. - Fuli Luo; Shunyao Li; Pengcheng Yang; Lei Li 039; Baobao Chang; Zhifang Sui; Xu Sun 001 (EMNLP/IJCNLP (1), 2019)

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. - Fuli Luo; Peng Li 030; Jie Zhou 016; Pengcheng Yang; Baobao Chang; Xu Sun 001; Zhifang Sui (IJCAI, 2019)

Soap: Soaking Capacity Optimization for Multi-Document Summarization. - Kexiang Wang; Baobao Chang; Zhifang Sui (CIKM, 2020)

Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. - Hongying Zan; Wenxin Li; Kunli Zhang; Yajuan Ye; Baobao Chang; Zhifang Sui (CLSW, 2020)

Construction of Chinese Medicine Knowledge Base. - Kunli Zhang; Xiaohui Ren; Lei Zhuang; Hongying Zan; Weicong Zhang; Zhifang Sui (CLSW, 2020)

An Anchor-Based Automatic Evaluation Metric for Document Summarization. - Kexiang Wang; Tianyu Liu 001; Baobao Chang; Zhifang Sui (COLING, 2020)

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. - Tianyu Liu 001; Xin Zheng; Xiaoan Ding; Baobao Chang; Zhifang Sui (CoNLL, 2020)

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. - Xiaoan Ding; Tianyu Liu 001; Baobao Chang; Zhifang Sui; Kevin Gimpel (EMNLP (1), 2020)

A Spectral Method for Unsupervised Multi-Document Summarization. - Kexiang Wang; Baobao Chang; Zhifang Sui (EMNLP (1), 2020)

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. - Tianyu Liu 001; Xin Zheng; Baobao Chang; Zhifang Sui (LREC, 2020)

Multi-View Learning for Vision-and-Language Navigation. - Qiaolin Xia; Xiujun Li; Chunyuan Li; Yonatan Bisk; Zhifang Sui; Jianfeng Gao 001; Yejin Choi 001; Noah A. Smith (CoRR, 2020)

XGPT: Cross-modal Generative Pre-Training for Image Captioning. - Qiaolin Xia; Haoyang Huang; Nan Duan; Dongdong Zhang 001; Lei Ji 001; Zhifang Sui; Edward Cui; Taroon Bharti; Xin Liu; Ming Zhou 001 (CoRR, 2020)

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. - Damai Dai; Hua Zheng; Fuli Luo; Pengcheng Yang; Baobao Chang; Zhifang Sui (CoRR, 2020)

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. - Tianyu Liu 001; Xin Zheng; Baobao Chang; Zhifang Sui (AAAI, 2021)

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Damai Dai; Baobao Chang; Zhifang Sui (CIKM, 2021)

Formalized Chinese Sentence Pattern Structure and Its Hierarchical Analysis. - Weiming Peng; Zuntian Wei; Jihua Song; Shiwen Yu; Zhifang Sui (CLSW (1), 2021)

Chinese Predicate Chunk Knowledge Base Construction and Internal Boundary Recognition. - Chengwen Wang; Xiang Liu; Gaoqi Rao; Endong Xun; Zhifang Sui (CLSW (2), 2021)

Chunk Extraction and Analysis Based on Frame-Verbs. - Chengwen Wang; Gaoqi Rao; Endong Xun; Zhifang Sui (CLSW (1), 2021)

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. - Hua Zheng; Damai Dai; Lei Li 039; Tianyu Liu 001; Zhifang Sui; Baobao Chang; Yang Liu 124 (NAACL-HLT, 2021)

XGPT: Cross-modal Generative Pre-Training for Image Captioning. - Qiaolin Xia; Haoyang Huang; Nan Duan; Dongdong Zhang 001; Lei Ji 001; Zhifang Sui; Edward Cui; Taroon Bharti; Ming Zhou 001 (NLPCC (1), 2021)

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. - Damai Dai; Hua Zheng; Fuli Luo; Pengcheng Yang; Tianyu Liu 001; Zhifang Sui; Baobao Chang (RepL4NLP@ACL-IJCNLP, 2021)

Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. - Damai Dai; Hua Zheng; Zhifang Sui; Baobao Chang (CoRR, 2021)

Knowledge Neurons in Pretrained Transformers. - Damai Dai; Li Dong 004; Yaru Hao; Zhifang Sui; Furu Wei (CoRR, 2021)

Problems and Countermeasures in Natural Language Processing Evaluation. - Qingxiu Dong; Zhifang Sui; Weidong Zhan; Baobao Chang (CoRR, 2021)

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. - Ningyu Zhang 001; Zhen Bi; Xiaozhuan Liang; Lei Li 040; Xiang Chen 016; Shumin Deng; Luoqiu Li; Hongbin Ye; Xin Shang; Kangping Yin; Chuanqi Tan; Jian Xu; et al. (CoRR, 2021)

Explicit Interaction Network for Aspect Sentiment Triplet Extraction. - Peiyi Wang; Lianzhe Huang; Tianyu Liu 001; Damai Dai; Runxin Xu; Houfeng Wang; Baobao Chang; Zhifang Sui (CoRR, 2021)

Hierarchical Curriculum Learning for AMR Parsing. - Peiyi Wang; Liang Chen 024; Tianyu Liu 001; Baobao Chang; Zhifang Sui (CoRR, 2021)

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. - Yuan Yao 013; Qingxiu Dong; Jian Guan 002; Boxi Cao; Zhengyan Zhang; Chaojun Xiao; Xiaozhi Wang; Fanchao Qi; Junwei Bao 001; Jinran Nie; Zheni Zeng; Yuxian Gu; et al. (CoRR, 2021)

StableMoE: Stable Routing Strategy for Mixture of Experts. - Damai Dai; Li Dong 004; Shuming Ma; Bo Zheng 010; Zhifang Sui; Baobao Chang; Furu Wei (ACL (1), 2022)

Knowledge Neurons in Pretrained Transformers. - Damai Dai; Li Dong 004; Yaru Hao; Zhifang Sui; Baobao Chang; Furu Wei (ACL (1), 2022)

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. - Qingxiu Dong; Ziwei Qin; Heming Xia; Tian Feng; Shoujie Tong; Haoran Meng; Lin Xu; Zhongyu Wei; Weidong Zhan; Baobao Chang; Sujian Li; Tianyu Liu 001; et al. (ACL (1), 2022)

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. - Tianyu Liu 001; Yizhe Zhang 002; Chris Brockett; Yi Mao; Zhifang Sui; Weizhu Chen; Bill Dolan (ACL (1), 2022)

Hierarchical Curriculum Learning for AMR Parsing. - Peiyi Wang; Liang Chen 024; Tianyu Liu 001; Damai Dai; Yunbo Cao; Baobao Chang; Zhifang Sui (ACL (2), 2022)

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. - Ningyu Zhang 001; Mosha Chen; Zhen Bi; Xiaozhuan Liang; Lei Li 040; Xin Shang; Kangping Yin; Chuanqi Tan; Jian Xu; Fei Huang 002; Luo Si; Yuan Ni; et al. (ACL (1), 2022)

Calibrating Factual Knowledge in Pretrained Language Models. - Qingxiu Dong; Damai Dai; Yifan Song; Jingjing Xu 001; Zhifang Sui; Lei Li 005 (EMNLP (Findings), 2022)

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. - Haoran Meng; Zheng Xin; Tianyu Liu 001; Zizhen Wang; He Feng; Binghuai Lin; Xuemin Zhao; Yunbo Cao; Zhifang Sui (EMNLP (Findings), 2022)

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. - Peiyi Wang; Yifan Song 002; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Sujian Li; Zhifang Sui (EMNLP, 2022)

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui; Houfeng Wang (EMNLP, 2022)

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. - Shoujie Tong; Qingxiu Dong; Damai Dai; Yifan Song 002; Tianyu Liu 001; Baobao Chang; Zhifang Sui (IJCAI, 2022)

CLINER: Clinical Interrogation Named Entity Recognition. - Jing Ren; Tianyang Cao; Yifan Yang 008; Yunyan Zhang; Xi Chen 003; Tian Feng; Baobao Chang; Zhifang Sui; Ruihui Zhao; Yefeng Zheng 001; Bang Liu (KSEM (2), 2022)

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. - Liang Chen 024; Peiyi Wang; Runxin Xu; Tianyu Liu 001; Zhifang Sui; Baobao Chang (NAACL-HLT (Findings), 2022)

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Qingyu Zhou; Yunbo Cao; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. - Runxin Xu; Peiyi Wang; Tianyu Liu 001; Shuang Zeng; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. - Damai Dai; Hua Zheng; Zhifang Sui; Baobao Chang (NLPCC (2), 2022)

Lossless Speedup of Autoregressive Translation with Generalized Aggressive Decoding. - Heming Xia; Tao Ge 001; Furu Wei; Zhifang Sui (CoRR, 2022)

Mixture of Experts for Biomedical Question Answering. - Damai Dai; Wenbin Jiang 002; Jiyuan Zhang; Weihua Peng; Yajuan Lyu; Zhifang Sui; Baobao Chang; Yong Zhu 004 (CoRR, 2022)

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Tianyu Liu 001; Yunbo Cao; Zhifang Sui; Houfeng Wang (CoRR, 2022)

Neural Knowledge Bank for Pretrained Transformers. - Damai Dai; Wenbin Jiang 002; Qingxiu Dong; Yajuan Lyu; Qiaoqiao She; Zhifang Sui (CoRR, 2022)

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. - Peiyi Wang; Yifan Song 002; Tianyu Liu 001; Rundong Gao; Binghuai Lin; Yunbo Cao; Zhifang Sui (CoRR, 2022)

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. - Xin Zheng; Tianyu Liu 001; Haoran Meng; Xu Wang; Yufan Jiang; Meng-Liang Rao; Binghuai Lin; Zhifang Sui; Yunbo Cao (CoRR, 2022)

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. - Chengwen Wang; Qingxiu Dong; Xiaochen Wang; Haitao Wang; Zhifang Sui (CoRR, 2022)

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. - Damai Dai; Yutao Sun; Li Dong 004; Yaru Hao; Zhifang Sui; Furu Wei (CoRR, 2022)

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. - Damai Dai; Yutao Sun; Li Dong 004; Yaru Hao; Shuming Ma; Zhifang Sui; Furu Wei (ACL (Findings), 2023)

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. - Shaoxiang Wu; Damai Dai; Ziwei Qin; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (ACL (1), 2023)

Enhancing Continual Relation Extraction via Classifier Decomposition. - Heming Xia; Peiyi Wang; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (ACL (Findings), 2023)

Learn to Not Link: Exploring NIL Prediction in Entity Linking. - Fangwei Zhu; Jifan Yu; Hailong Jin; Lei Hou 001; Juanzi Li; Zhifang Sui (ACL (Findings), 2023)

Guiding AMR Parsing with Reverse Graph Linearization. - Bofei Gao; Liang Chen 024; Peiyi Wang; Zhifang Sui; Baobao Chang (EMNLP (Findings), 2023)

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. - Yifan Song 002; Peiyi Wang; Weimin Xiong; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (EMNLP (Findings), 2023)

Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. - Shoujie Tong; Heming Xia; Damai Dai; Runxin Xu; Tianyu Liu; Binghuai Lin; Yunbo Cao; Zhifang Sui (EMNLP (Findings), 2023)

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. - Heming Xia; Tao Ge 001; Peiyi Wang; Si-Qing Chen; Furu Wei; Zhifang Sui (EMNLP (Findings), 2023)

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Tianyu Liu 001; Ziwei Qin; Zhifang Sui (EMNLP (Findings), 2023)

Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. - Zhe Yang 013; Damai Dai; Peiyi Wang; Zhifang Sui (EMNLP (Findings), 2023)

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. - Xin Zheng; Tianyu Liu; Haoran Meng; Xu Wang; Yufan Jiang; Meng-Liang Rao; Binghuai Lin; Yunbo Cao; Zhifang Sui (EMNLP (Findings), 2023)

Statistical Knowledge Assessment for Large Language Models. - Qingxiu Dong; Jingjing Xu 001; Lingpeng Kong; Zhifang Sui; Lei Li 005 (NeurIPS, 2023)

Neural Knowledge Bank for Pretrained Transformers. - Damai Dai; Wenbin Jiang 002; Qingxiu Dong; Yajuan Lyu; Zhifang Sui (NLPCC (2), 2023)

Mixture-of-Experts for Biomedical Question Answering. - Damai Dai; Wenbin Jiang 002; Jiyuan Zhang; Yajuan Lyu; Zhifang Sui; Baobao Chang (NLPCC (1), 2023)

Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. - Damai Dai; Jing Ren; Shuang Zeng; Baobao Chang; Zhifang Sui (NLPCC (2), 2023)

A Survey for In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Jingjing Xu 001; Lei Li 005; Zhifang Sui (CoRR, 2023)

RepCL: Exploring Effective Representation for Continual Text Classification. - Yifan Song 002; Peiyi Wang; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (CoRR, 2023)

Statistical Knowledge Assessment for Generative Language Models. - Qingxiu Dong; Jingjing Xu 001; Lingpeng Kong; Zhifang Sui; Lei Li 005 (CoRR, 2023)

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization. - Shoujie Tong; Heming Xia; Damai Dai; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (CoRR, 2023)

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Ziwei Qin; Zhifang Sui (CoRR, 2023)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Dawei Zhu; Binghuai Lin; Yunbo Cao; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (CoRR, 2023)

Making Large Language Models Better Reasoners with Alignment. - Peiyi Wang; Lei Li 039; Liang Chen 024; Feifan Song 001; Binghuai Lin; Yunbo Cao; Tianyu Liu 001; Zhifang Sui (CoRR, 2023)

Large Language Model for Science: A Study on P vs. NP. - Qingxiu Dong; Li Dong 004; Ke Xu 001; Guangyan Zhou; Yaru Hao; Zhifang Sui; Furu Wei (CoRR, 2023)

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. - Peiyi Wang; Lei Li 039; Zhihong Shao; R. X. Xu; Damai Dai; Yifei Li 005; Deli Chen; Y. Wu; Zhifang Sui (CoRR, 2023)

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. - 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; et al. (ACL (1), 2024)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Zefan Cai; Dawei Zhu; Binghuai Lin; Yunbo Cao; Lingpeng Kong; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (ACL (1), 2024)

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. - Peiyi Wang; Lei Li 039; Zhihong Shao; Runxin Xu; Damai Dai; Yifei Li 005; Deli Chen; Yu Wu; Zhifang Sui (ACL (1), 2024)

Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. - Yudong Wang 005; Chang Ma; Qingxiu Dong; Zhifang Sui; Lingpeng Kong; Jingjing Xu (ACL (Findings), 2024)

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. - Heming Xia; Zhe Yang 013; Qingxiu Dong; Peiyi Wang; Yongqi Li 001; Tao Ge 001; Tianyu Liu 001; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2024)

Can Large Multimodal Models Uncover Deep Semantics Behind Images? - Yixin Yang; Zheng Li; Qingxiu Dong; Heming Xia; Zhifang Sui (ACL (Findings), 2024)

FaGANet: An Evidence-Based Fact-Checking Model with Integrated Encoder Leveraging Contextual Information. - Weiyao Luo; Junfeng Ran; Zailong Tian; Sujian Li; Zhifang Sui (LREC/COLING, 2024)

A Survey on In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Jingyuan Ma; Rui Li 094; Heming Xia; Jingjing Xu 001; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Lei Li 005; et al. (EMNLP, 2024)

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. - Rui Li 094; Peiyi Wang; Jingyuan Ma; Di Zhang; Lei Sha; Zhifang Sui (EMNLP (Findings), 2024)

Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens. - Weiyao Luo; Suncong Zheng; Heming Xia; Weikang Wang 005; Yan Lei; Tianyu Liu; Shuang Chen; Zhifang Sui (EMNLP (Findings), 2024)

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? - Zhe Yang 013; Yichang Zhang; Tianyu Liu 001; Jian Yang 003; Junyang Lin; Chang Zhou; Zhifang Sui (EMNLP, 2024)

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. - Zhexin Zhang; Yida Lu; Jingyuan Ma; Di Zhang; Rui Li 094; Pei Ke; Hao Sun; Lei Sha; Zhifang Sui; Hongning Wang; Minlie Huang (EMNLP (Findings), 2024)

Language Models Understand Numbers, at Least Partially. - Fangwei Zhu; Damai Dai; Zhifang Sui (CoRR, 2024)

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. - Xiangdi Meng; Damai Dai; Weiyao Luo; Zhe Yang 013; Shaoxiang Wu; Xiaochen Wang; Peiyi Wang; Qingxiu Dong; Liang Chen 024; Zhifang Sui (CoRR, 2024)

Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition. - Fangwei Zhu; Peiyi Wang; Zhifang Sui (CoRR, 2024)

Large Language Models Are Unconscious of Unreasonability in Math Problems. - Jingyuan Ma; Damai Dai; Zhifang Sui (CoRR, 2024)

Exploring Activation Patterns of Parameters in Language Models. - Yudong Wang 005; Damai Dai; Zhifang Sui (CoRR, 2024)

FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering. - Xiaochen Wang; Junqing He; Zhe Yang 013; Yiru Wang; Xiangdi Meng; Kunhao Pan; Zhifang Sui (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Chip-Tuning: Classify Before Language Models Say. - Fangwei Zhu; Dian Li; Jiajun Huang; Gang Liu; Hui Wang; Zhifang Sui (CoRR, 2024)

SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine. - Xiaochen Wang; Junqing He; Liang Chen 024; Reza Haf; Zhe Yang 013; Yiru Wang; Xiangdi Meng; Kunhao Pan; Zhifang Sui (CoRR, 2024)

Plug-and-Play Training Framework for Preference Optimization. - Jingyuan Ma; Rui Li; Zheng Li; Lei Sha; Zhifang Sui (CoRR, 2024)

Exploring Activation Patterns of Parameters in Language Models. - Yudong Wang 005; Damai Dai; Zhe Yang 013; Jingyuan Ma; Zhifang Sui (AAAI, 2025)

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs. - Zhe Yang 013; Yichang Zhang; Yudong Wang 005; Ziyao Xu 001; Junyang Lin; Zhifang Sui (ACL (1), 2025)

How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. - Rui Li 094; Heming Xia; Xinfeng Yuan; Qingxiu Dong; Lei Sha; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2025)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (ACL (1), 2025)

Language Models Encode the Value of Numbers Linearly. - Fangwei Zhu; Damai Dai; Zhifang Sui (COLING, 2025)

AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization. - Yiyang Du; Xiaochen Wang 002; Chi Chen 005; Jiabo Ye; Yiru Wang; Peng Li 030; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Zhifang Sui; Maosong Sun 001; Yang Liu 005 (CVPR, 2025)

Self-Boosting Large Language Models with Synthetic Preference Data. - Qingxiu Dong; Li Dong 004; Xingxing Zhang 002; Zhifang Sui; Furu Wei (ICLR, 2025)

SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine. - Xiaochen Wang; Junqing He; Liang Chen 024; Gholamreza Haffari; Yiru Wang; Zhe Yang 013; Xiangdi Meng; Kunhao Pan; Zhifang Sui (NAACL (Findings), 2025)

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. - Haoran Li; Qingxiu Dong; Zhengyang Tang; Chaojun Wang; Xingxing Zhang 002; Haoyang Huang; Shaohan Huang; Xiaolong Huang; Zeqiang Huang; Dongdong Zhang 001; Yuxian Gu; Xin Cheng 002; et al. (Trans. Mach. Learn. Res., 2025)

Beyond Single Frames: Can LMMs Comprehend Temporal and Contextual Narratives in Image Sequences? - Xiaochen Wang; Heming Xia; Jialin Song; Longyu Guan; Yixin Yang; Qingxiu Dong; Weiyao Luo; Yifan Pu; Yiru Wang; Xiangdi Meng; Wenjie Li 002; Zhifang Sui (CoRR, 2025)

KnowLogic: A Benchmark for Commonsense Reasoning via Knowledge-Driven Data Synthesis. - Weidong Zhan; Yue Wang; Nan Hu; Liming Xiao; Jingyuan Ma; Yuhang Qin; Zheng Li; Yixin Yang; Sirui Deng; Jinkun Ding; Wenhan Ma; Rui Li; et al. (CoRR, 2025)

Chain-of-Thought Tokens are Computer Program Variables. - Fangwei Zhu; Peiyi Wang; Zhifang Sui (CoRR, 2025)

RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. - Yixin Yang; Qingxiu Dong; Linli Yao; Fangwei Zhu; Zhifang Sui (CoRR, 2025)

SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning. - Zheng Li; Qingxiu Dong; Jingyuan Ma; Di Zhang; Zhifang Sui (CoRR, 2025)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li 094; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (CoRR, 2025)

From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. - Zhengyu Chen 001; Yudong Wang; Teng Xiao; Ruochen Zhou; Xuesheng Yang; Wei Wang; Zhifang Sui; Jingang Wang (CoRR, 2025)

HauntAttack: When Attack Follows Reasoning as a Shadow. - Jingyuan Ma; Rui Li 094; Zheng Li; Junfeng Liu; Lei Sha; Zhifang Sui (CoRR, 2025)

Reinforcement Pre-Training. - Qingxiu Dong; Li Dong 004; Yao Tang; Tianzhu Ye; Yutao Sun; Zhifang Sui; Furu Wei (CoRR, 2025)