Formalization and Rules for Recognition of Satirical Irony. - Lingpeng Kong; Likun Qiu (IALP, 2011)

Improving Chinese Dependency Parsing with Self-Disambiguating Patterns. - Likun Qiu; Lei Wu; Kai Zhao 001; Changjian Hu; Lingpeng Kong (IALP, 2011)

A Dependency Parser for Tweets. - Lingpeng Kong; Nathan Schneider 001; Swabha Swayamdipta; Archna Bhatia; Chris Dyer; Noah A. Smith (EMNLP, 2014)

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. - William Yang Wang; Lingpeng Kong; Kathryn Mazaitis; William W. Cohen (EMNLP, 2014)

An Empirical Comparison of Parsing Methods for Stanford Dependencies. - Lingpeng Kong; Noah A. Smith (CoRR, 2014)

ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer. - Ting-Hao K. Huang; Yun-Nung Chen; Lingpeng Kong (SIGHAN@IJCNLP, 2015)

Bayesian Optimization of Text Representations. - Dani Yogatama; Lingpeng Kong; Noah A. Smith (EMNLP, 2015)

Transforming Dependencies into Phrase Structures. - Lingpeng Kong; Alexander M. Rush; Noah A. Smith (HLT-NAACL, 2015)

Document Context Language Models. - Yangfeng Ji; Trevor Cohn; Lingpeng Kong; Chris Dyer; Jacob Eisenstein (CoRR, 2015)

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. - Adhiguna Kuncoro; Miguel Ballesteros; Lingpeng Kong; Chris Dyer; Noah A. Smith (EMNLP, 2016)

Segmental Recurrent Neural Networks for End-to-End Speech Recognition. - Liang Lu 001; Lingpeng Kong; Chris Dyer; Noah A. Smith; Steve Renals (INTERSPEECH, 2016)

Segmental Recurrent Neural Networks. - Lingpeng Kong; Chris Dyer; Noah A. Smith (ICLR (Poster), 2016)

What Do Recurrent Neural Network Grammars Learn About Syntax? - Adhiguna Kuncoro; Miguel Ballesteros; Lingpeng Kong; Chris Dyer; Graham Neubig; Noah A. Smith (EACL (1), 2017)

Multitask Learning with CTC and Segmental CRF for Speech Recognition. - Liang Lu 001; Lingpeng Kong; Chris Dyer; Noah A. Smith (INTERSPEECH, 2017)

SyntaxNet Models for the CoNLL 2017 Shared Task. - Chris Alberti; Daniel Andor; Ivan Bogatyy; Michael Collins 001; Dan Gillick; Lingpeng Kong; Terry Koo; Ji Ma 004; Mark Omernick; Slav Petrov; Chayut Thanapirom; Zora Tung; et al. (CoRR, 2017)

DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks. - Lingpeng Kong; Chris Alberti; Daniel Andor; Ivan Bogatyy; David Weiss 001 (CoRR, 2017)

Multi-task Learning with CTC and Segmental CRF for Speech Recognition. - Liang Lu 001; Lingpeng Kong; Chris Dyer; Noah A. Smith (CoRR, 2017)

DyNet: The Dynamic Neural Network Toolkit. - Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang 001; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; et al. (CoRR, 2017)

End-to-End Neural Segmental Models for Speech Recognition. - Hao Tang 002; Liang Lu 001; Lingpeng Kong; Kevin Gimpel; Karen Livescu; Chris Dyer; Noah A. Smith; Steve Renals (IEEE J. Sel. Top. Signal Process., 2017)

Neural Phrase-to-Phrase Machine Translation. - Jiangtao Feng; Lingpeng Kong; Po-Sen Huang; Chong Wang; Da Huang; Jiayuan Mao; Kan Qiao; Dengyong Zhou (CoRR, 2018)

Sentence Encoding with Tree-constrained Relation Networks. - Lei Yu 008; Cyprien de Masson d'Autume; Chris Dyer; Phil Blunsom; Lingpeng Kong; Wang Ling (CoRR, 2018)

Variational Smoothing in Recurrent Neural Network Language Models. - Lingpeng Kong; Gábor Melis; Wang Ling; Lei Yu 008; Dani Yogatama (ICLR (Poster), 2019)

Episodic Memory in Lifelong Language Learning. - Cyprien de Masson d'Autume; Sebastian Ruder; Lingpeng Kong; Dani Yogatama (NeurIPS, 2019)

Learning and Evaluating General Linguistic Intelligence. - Dani Yogatama; Cyprien de Masson d'Autume; Jerome T. Connor; Tomás Kociský; Mike Chrzanowski; Lingpeng Kong; Angeliki Lazaridou; Wang Ling; Lei Yu 008; Chris Dyer; Phil Blunsom (CoRR, 2019)

Putting Machine Translation in Context with the Noisy Channel Model. - Lei Yu 008; Laurent Sartran; Wojciech Stokowiec; Wang Ling; Lingpeng Kong; Phil Blunsom; Chris Dyer (CoRR, 2019)

A Mutual Information Maximization Perspective of Language Representation Learning. - Lingpeng Kong; Cyprien de Masson d'Autume; Lei Yu 008; Wang Ling; Zihang Dai; Dani Yogatama (ICLR, 2020)

Syntactic Structure Distillation Pretraining for Bidirectional Encoders. - Adhiguna Kuncoro; Lingpeng Kong; Daniel Fried; Dani Yogatama; Laura Rimell; Chris Dyer; Phil Blunsom (Trans. Assoc. Comput. Linguistics, 2020)

Better Document-Level Machine Translation with Bayes' Rule. - Lei Yu 008; Laurent Sartran; Wojciech Stokowiec; Wang Ling; Lingpeng Kong; Phil Blunsom; Chris Dyer (Trans. Assoc. Comput. Linguistics, 2020)

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. - Zhiyong Wu 003; Lingpeng Kong; Wei Bi; Xiang Li 067; Ben Kao (ACL/IJCNLP (1), 2021)

Cascaded Head-colliding Attention. - Lin Zheng; Zhiyong Wu 003; Lingpeng Kong (ACL/IJCNLP (1), 2021)

Random Feature Attention. - Hao Peng 009; Nikolaos Pappas 002; Dani Yogatama; Roy Schwartz 001; Noah A. Smith; Lingpeng Kong (ICLR, 2021)

Mining influential genes based on deep learning. - Lingpeng Kong; Yuanyuan Chen; Fengjiao Xu; Mingmin Xu; Zutan Li; Jingya Fang; Liangyun Zhang; Cong Pian (BMC Bioinform., 2021)

Oracle Linguistic Graphs Complement a Pretrained Transformer Language Model: A Cross-formalism Comparison. - Jakob Prange; Nathan Schneider 001; Lingpeng Kong (CoRR, 2021)

Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species. - Zutan Li; Hangjin Jiang; Lingpeng Kong; Yuanyuan Chen; Kun Lang; Xiaodan Fan; Liangyun Zhang; Cong Pian (PLoS Comput. Biol., 2021)

Adaptive Semiparametric Language Models. - Dani Yogatama; Cyprien de Masson d'Autume; Lingpeng Kong (Trans. Assoc. Comput. Linguistics, 2021)

Lexical Knowledge Internalization for Neural Dialog Generation. - Zhiyong Wu 003; Wei Bi; Xiang Li 067; Lingpeng Kong; Ben Kao (ACL (1), 2022)

Event Transition Planning for Open-ended Text Generation. - Qintong Li; Piji Li; Wei Bi; Zhaochun Ren; Yuxuan Lai; Lingpeng Kong (ACL (Findings), 2022)

ABC: Attention with Bounded-memory Control. - Hao Peng 009; Jungo Kasai; Nikolaos Pappas 002; Dani Yogatama; Zhaofeng Wu; Lingpeng Kong; Roy Schwartz 001; Noah A. Smith (ACL (1), 2022)

Audio-Visual Segmentation. - Jinxing Zhou; Jianyuan Wang; Jiayi Zhang; Weixuan Sun; Jing Zhang 052; Stan Birchfield; Dan Guo 001; Lingpeng Kong; Meng Wang 001; Yiran Zhong (ECCV (37), 2022)

The Devil in Linear Transformer. - Zhen Qin 003; Xiaodong Han; Weixuan Sun; Dongxu Li; Lingpeng Kong; Nick Barnes; Yiran Zhong (EMNLP, 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. - Jiacheng Ye; Jiahui Gao; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (EMNLP (Findings), 2022)

ZeroGen: Efficient Zero-shot Learning via Dataset Generation. - Jiacheng Ye; Jiahui Gao; Qintong Li; Hang Xu 004; Jiangtao Feng; Zhiyong Wu 003; Tao Yu 009; Lingpeng Kong (EMNLP, 2022)

An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. - Changlong Yu; Tianyi Xiao; Lingpeng Kong; Yangqiu Song; Wilfred Ng (EMNLP, 2022)

cosFormer: Rethinking Softmax In Attention. - Zhen Qin 003; Weixuan Sun; Hui Deng; Dongxu Li; Yunshen Wei; Baohong Lv; Junjie Yan; Lingpeng Kong; Yiran Zhong (ICLR, 2022)

Revisiting Over-smoothing in BERT from the Perspective of Graph. - Han Shi; Jiahui Gao; Hang Xu 004; Xiaodan Liang; Zhenguo Li; Lingpeng Kong; Stephen M. S. Lee; James T. Kwok (ICLR, 2022)

Ripple Attention for Visual Perception with Sub-quadratic Complexity. - Lin Zheng; Huijie Pan; Lingpeng Kong (ICML, 2022)

Linear Complexity Randomized Self-attention Mechanism. - Lin Zheng; Chong Wang; Lingpeng Kong (ICML, 2022)

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling. - Jakob Prange; Nathan Schneider 001; Lingpeng Kong (NAACL-HLT, 2022)

CoNT: Contrastive Neural Text Generation. - Chenxin An; Jiangtao Feng; Kai Lv 001; Lingpeng Kong; Xipeng Qiu; Xuanjing Huang 001 (NeurIPS, 2022)

A Contrastive Framework for Neural Text Generation. - Yixuan Su; Tian Lan 003; Yan Wang 060; Dani Yogatama; Lingpeng Kong; Nigel Collier (NeurIPS, 2022)

SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples. - Hao Wang; Yangguang Li 001; Zhen Huang 006; Yong Dou; Lingpeng Kong; Jing Shao (CoRR, 2022)

Language Models Can See: Plugging Visual Controls in Text Generation. - Yixuan Su; Tian Lan 003; Yahui Liu; Fangyu Liu 001; Dani Yogatama; Yan Wang 060; Lingpeng Kong; Nigel Collier (CoRR, 2022)

ZeroGen+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning. - Jiahui Gao; Renjie Pi; Yong Lin; Hang Xu 004; Jiacheng Ye; Zhiyong Wu 003; Xiaodan Liang; Zhenguo Li; Lingpeng Kong (CoRR, 2022)

Self-adaptive In-context Learning. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (CoRR, 2022)

Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation. - Fei Yuan 006; Yinquan Lu; Wenhao Zhu; Lingpeng Kong; Lei Li 005; Jingjing Xu 001 (CoRR, 2022)

Unsupervised Explanation Generation via Correct Instantiations. - Sijie Cheng; Zhiyong Wu 003; Jiangjie Chen; Zhixing Li; Yang Liu; Lingpeng Kong (AAAI, 2023)

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (ACL (1), 2023)

A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment. - Jiyue Jiang; Sheng Wang; Qintong Li; Lingpeng Kong; Chuan Wu (ACL (1), 2023)

Explanation Regeneration via Information Bottleneck. - Qintong Li; Zhiyong Wu 003; Lingpeng Kong; Wei Bi (ACL (Findings), 2023)

Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation. - Fei Yuan 006; Yinquan Lu; Wenhao Zhu; Lingpeng Kong; Lei Li 005; Yu Qiao 001; Jingjing Xu 001 (ACL (Findings), 2023)

SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. - Xueliang Zhao; Tingchen Fu; Lemao Liu; Lingpeng Kong; Shuming Shi 001; Rui Yan 001 (ACL (Findings), 2023)

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. - Wenhao Zhu; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001 (ACL (1), 2023)

Fine-grained Audible Video Description. - Xuyang Shen; Dong Li 033; Jinxing Zhou; Zhen Qin 003; Bowen He; Xiaodong Han; Aixuan Li; Yuchao Dai; Lingpeng Kong; Meng Wang 001; Yu Qiao 001; Yiran Zhong (CVPR, 2023)

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (EMNLP (Findings), 2023)

Can Language Models Understand Physical Concepts? - Lei Li 039; Jingjing Xu 001; Qingxiu Dong; Ce Zheng; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (EMNLP, 2023)

DetGPT: Detect What You Need via Reasoning. - Renjie Pi; Jiahui Gao; Shizhe Diao; Rui Pan 002; Hanze Dong; Jipeng Zhang; Lewei Yao; Jianhua Han; Hang Xu 004; Lingpeng Kong; Tong Zhang 001 (EMNLP, 2023)

Generating Data for Symbolic Language with Large Language Models. - Jiacheng Ye; Chengzu Li; Lingpeng Kong; Tao Yu 009 (EMNLP, 2023)

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. - Jiahui Gao; Renjie Pi; Yong Lin; Hang Xu 004; Jiacheng Ye; Zhiyong Wu 003; Weizhong Zhang; Xiaodan Liang; Zhenguo Li; Lingpeng Kong (ICLR, 2023)

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (ICLR, 2023)

Toeplitz Neural Network for Sequence Modeling. - Zhen Qin 003; Xiaodong Han; Weixuan Sun; Bowen He; Dong Li 033; Dongxu Li; Yuchao Dai; Lingpeng Kong; Yiran Zhong (ICLR, 2023)

Efficient Attention via Control Variates. - Lin Zheng; Jianbo Yuan; Chong Wang; Lingpeng Kong (ICLR, 2023)

Compositional Exemplars for In-context Learning. - Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (ICML, 2023)

CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. - Jun Zhang; Shuyang Jiang; Jiangtao Feng; Lin Zheng; Lingpeng Kong (ICML, 2023)

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

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. - Haiteng Zhao; Shengchao Liu; Chang Ma; Hannan Xu; Jie Fu 001; Zhihong Deng 001; Lingpeng Kong; Qi Liu 049 (NeurIPS, 2023)

Attentive Multi-Layer Perceptron for Non-autoregressive Generation. - Shuyang Jiang; Jun Zhang; Jiangtao Feng; Lin Zheng; Lingpeng Kong (ECML/PKDD (2), 2023)

In-Context Learning with Many Demonstration Examples. - Mukai Li; Shansan Gong; Jiangtao Feng; Yiheng Xu; Jun Zhang; Zhiyong Wu 003; Lingpeng Kong (CoRR, 2023)

A Reparameterized Discrete Diffusion Model for Text Generation. - Lin Zheng; Jianbo Yuan; Lei Yu 008; Lingpeng Kong (CoRR, 2023)

Retrieved Sequence Augmentation for Protein Representation Learning. - Chang Ma; Haiteng Zhao; Lin Zheng; Jiayi Xin; Qintong Li; Lijun Wu; Zhihong Deng 001; Yang Lu; Qi Liu 049; Lingpeng Kong (CoRR, 2023)

A Challenging Benchmark for Low-Resource Learning. - Yudong Wang 005; Chang Ma; Qingxiu Dong; Lingpeng Kong; Jingjing Xu (CoRR, 2023)

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models. - Yuwei Yin; Jean Kaddour; Xiang Zhang; Yixin Nie; Zhenguang Liu; Lingpeng Kong; Qi Liu 049 (CoRR, 2023)

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

Optimizing Non-Autoregressive Transformers with Contrastive Learning. - Chenxin An; Jiangtao Feng; Fei Huang 005; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving. - Xueliang Zhao; Wenda Li 001; Lingpeng Kong (CoRR, 2023)

M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. - Lei Li 039; Yuwei Yin; Shicheng Li; Liang Chen 024; Peiyi Wang; Shuhuai Ren; Mukai Li; Yazheng Yang; Jingjing Xu 001; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (CoRR, 2023)

Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability. - Jiacheng Ye; Xijia Tao; Lingpeng Kong (CoRR, 2023)

L-Eval: Instituting Standardized Evaluation for Long Context Language Models. - Chenxin An; Shansan Gong; Ming Zhong 005; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (CoRR, 2023)

Extrapolating Large Language Models to Non-English by Aligning Languages. - Wenhao Zhu; Yunzhe Lv; Qingxiu Dong; Fei Yuan 006; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001; Lei Li 005 (CoRR, 2023)

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. - Qiushi Sun; Zhangyue Yin; Xiang Li 067; Zhiyong Wu 003; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

Collaborative Evaluation: Exploring the Synergy of Large Language Models and Humans for Open-ended Generation Evaluation. - Qintong Li; Leyang Cui; Lingpeng Kong; Wei Bi (CoRR, 2023)

Silkie: Preference Distillation for Large Visual Language Models. - Lei Li 039; Zhihui Xie 002; Mukai Li; Shunian Chen; Peiyi Wang; Liang Chen 024; Yazheng Yang; Benyou Wang; Lingpeng Kong (CoRR, 2023)

Linear Attention via Orthogonal Memory. - Jun Zhang; Shuyang Jiang; Jiangtao Feng; Lin Zheng; Lingpeng Kong (CoRR, 2023)

Linearized Relative Positional Encoding. - Zhen Qin 003; Weixuan Sun; Kaiyue Lu; Hui Deng; Dongxu Li; Xiaodong Han; Yuchao Dai; Lingpeng Kong; Yiran Zhong (Trans. Mach. Learn. Res., 2023)

Vicinity Vision Transformer. - Weixuan Sun; Zhen Qin 003; Hui Deng; Jianyuan Wang; Yi Zhang 137; Kaihao Zhang; Nick Barnes; Stan Birchfield; Lingpeng Kong; Yiran Zhong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. - Lei Li 039; Yuqi Wang 003; Runxin Xu; Peiyi Wang; Xiachong Feng; Lingpeng Kong; Qi Liu 049 (ACL (1), 2024)

L-Eval: Instituting Standardized Evaluation for Long Context Language Models. - Chenxin An; Shansan Gong; Ming Zhong 005; Xingjian Zhao; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (ACL (1), 2024)

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers. - Qintong Li; Leyang Cui; Xueliang Zhao; Lingpeng Kong; Wei Bi (ACL (1), 2024)

LoRA Meets Dropout under a Unified Framework. - Sheng Wang; Liheng Chen; Jiyue Jiang; Boyang Xue; Lingpeng Kong; Chuan Wu (ACL (Findings), 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)

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)

PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA. - Sheng Wang; Boyang Xue; Jiacheng Ye; Jiyue Jiang; Liheng Chen; Lingpeng Kong; Chuan Wu (ACL (1), 2024)

SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. - Xueliang Zhao; Xinting Huang; Wei Bi; Lingpeng Kong (ACL (1), 2024)

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. - Xueliang Zhao; Xinting Huang; Tingchen Fu; Qintong Li; Shansan Gong; Lemao Liu; Wei Bi; Lingpeng Kong (ACL (Findings), 2024)

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. - Lei Li 039; Zhihui Xie 002; Mukai Li; Shunian Chen; Peiyi Wang; Liang Chen 024; Yazheng Yang; Benyou Wang; Lingpeng Kong; Qi Liu 049 (EMNLP, 2024)

Retrieved Sequence Augmentation for Protein Representation Learning. - Chang Ma; Haiteng Zhao; Lin Zheng; Jiayi Xin; Qintong Li; Lijun Wu; Zhihong Deng 001; Yang Lu; Qi Liu 049; Sheng Wang; Lingpeng Kong (EMNLP, 2024)

Lemur: Harmonizing Natural Language and Code for Language Agents. - Yiheng Xu; Hongjin Su; Chen Xing; Boyu Mi; Qian Liu; Weijia Shi; Binyuan Hui; Fan Zhou; Yitao Liu; Tianbao Xie; Zhoujun Cheng; Siheng Zhao; et al. (ICLR, 2024)

Training-Free Long-Context Scaling of Large Language Models. - Chenxin An; Fei Huang 005; Jun Zhang 003; Shansan Gong; Xipeng Qiu; Chang Zhou; Lingpeng Kong (ICML, 2024)

Subgoal-based Demonstration Learning for Formal Theorem Proving. - Xueliang Zhao; Wenda Li 001; Lingpeng Kong (ICML, 2024)

Self-Infilling Code Generation. - Lin Zheng; Jianbo Yuan; Zhi Zhang 005; Hongxia Yang; Lingpeng Kong (ICML, 2024)

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. - Wenhao Zhu; Hongyi Liu 008; Qingxiu Dong; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001; Lei Li 005 (NAACL-HLT (Findings), 2024)

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. - Chang Ma; Junlei Zhang; Zhihao Zhu; Cheng Yang 007; Yujiu Yang; Yaohui Jin; Zhenzhong Lan; Lingpeng Kong; Junxian He (NeurIPS, 2024)

Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models. - Jiacheng Ye; Shansan Gong; Liheng Chen; Lin Zheng; Jiahui Gao; Han Shi; Chuan Wu; Xin Jiang; Zhenguo Li; Wei Bi; Lingpeng Kong (NeurIPS, 2024)

LOGOWheat: deep learning-based prediction of regulatory effects for noncoding variants in wheats. - Lingpeng Kong; Hong Cheng; Kun Zhu 019; Bo Song (Briefings Bioinform., 2024)

OS-Copilot: Towards Generalist Computer Agents with Self-Improvement. - Zhiyong Wu 003; Chengcheng Han 004; Zichen Ding 002; Zhenmin Weng; Zhoumianze Liu; Shunyu Yao; Tao Yu 009; Lingpeng Kong (CoRR, 2024)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models. - Jiacheng Ye; Shansan Gong; Liheng Chen; Lin Zheng; Jiahui Gao; Han Shi; Chuan Wu; Zhenguo Li; Wei Bi; Lingpeng Kong (CoRR, 2024)

Empowering Large Language Model Agents through Action Learning. - Haiteng Zhao; Chang Ma; Guoyin Wang 002; Jing Su; Lingpeng Kong; Jingjing Xu; Zhi-Hong Deng 001; Hongxia Yang (CoRR, 2024)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. - Qiushi Sun; Zhirui Chen; Fangzhi Xu; Kanzhi Cheng; Chang Ma; Zhangyue Yin; Jianing Wang 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan 018; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

Data Augmentation of Multi-turn Psychological Dialogue via Knowledge-driven Progressive Thought Prompting. - Jiyue Jiang; Liheng Chen; Sheng Wang; Lingpeng Kong; Yu Li 006; Chuan Wu (CoRR, 2024)

FACTTRACK: Time-Aware World State Tracking in Story Outlines. - Zhiheng Lyu; Kevin Yang; Lingpeng Kong; Daniel Klein 001 (CoRR, 2024)

SubgoalXL: Subgoal-based Expert Learning for Theorem Proving. - Xueliang Zhao; Lin Zheng; Haige Bo; Changran Hu; Urmish Thakker; Lingpeng Kong (CoRR, 2024)

How Far Can Cantonese NLP Go? Benchmarking Cantonese Capabilities of Large Language Models. - Jiyue Jiang; Liheng Chen; Pengan Chen; Sheng Wang; Qinghang Bao; Lingpeng Kong; Yu Li; Chuan Wu (CoRR, 2024)

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration. - Jiahui Gao; Renjie Pi; Tianyang Han; Han Wu; Lanqing Hong; Lingpeng Kong; Xin Jiang 002; Zhenguo Li (CoRR, 2024)

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. - Zixuan Li; Jing Xiong; Fanghua Ye 001; Chuanyang Zheng; Xun Wu; Jianqiao Lu; Zhongwei Wan; Xiaodan Liang; Chengming Li; Zhenan Sun; Lingpeng Kong; Ngai Wong 001 (CoRR, 2024)

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. - Jing Xiong; Jianghan Shen; Fanghua Ye 001; Chaofan Tao; Zhongwei Wan; Jianqiao Lu; Xun Wu; Chuanyang Zheng; Zhijiang Guo; Lingpeng Kong; Ngai Wong 001 (CoRR, 2024)

TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs. - Haochuan Wang; Xiachong Feng; Lei Li 039; Zhanyue Qin; Dianbo Sui; Lingpeng Kong (CoRR, 2024)

QSpec: Speculative Decoding with Complementary Quantization Schemes. - Juntao Zhao; Wenhao Lu; Sheng Wang; Lingpeng Kong; Chuan Wu (CoRR, 2024)

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks. - Botian Jiang; Lei Li 005; Xiaonan Li; Zhaowei Li; Xiachong Feng; Lingpeng Kong; Qi Liu 003; Xipeng Qiu (CoRR, 2024)

ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom. - Jingqi Zhou; Sheng Wang; Jingwei Dong; Lei Li 039; Jiahui Gao; Lingpeng Kong; Chuan Wu (CoRR, 2024)

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. - Jiacheng Ye; Jiahui Gao; Shansan Gong; Lin Zheng; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (CoRR, 2024)

Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration. - Qintong Li; Jiahui Gao; Sheng Wang; Renjie Pi; Xueliang Zhao; Chuan Wu; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (CoRR, 2024)

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CoRR, 2024)

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios. - Xiachong Feng; Longxu Dou; Ella Li; Qinghao Wang; Haochuan Wang; Yu Guo; Chang Ma; Lingpeng Kong (CoRR, 2024)

Neural Representation Learning in Linguistic Structured Prediction - Lingpeng Kong (2024)

Reasoning Does Not Necessarily Improve Role-Playing Ability. - Xiachong Feng; Longxu Dou; Lingpeng Kong (ACL (Findings), 2025)

Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuchun Fan; Xiachong Feng; Yuxuan Gu; Yangfan Ye; Liang Zhao; Weihong Zhong; Baoxin Wang; Dayong Wu; Guoping Hu; et al. (ACL (1), 2025)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models. - Xueliang Zhao; Wei Wu; Jian Guan; Lingpeng Kong (ACL (Findings), 2025)

Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks. - Qintong Li; Leyang Cui; Lingpeng Kong; Wei Bi (COLING, 2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CVPR, 2025)

Jailbreaking as a Reward Misspecification Problem. - Zhihui Xie 002; Jiahui Gao; Lei Li 039; Zhenguo Li; Qi Liu 049; Lingpeng Kong (ICLR, 2025)

Temporal Reasoning Transfer from Text to Video. - Lei Li 039; Yuanxin Liu; Linli Yao; Peiyuan Zhang; Chenxin An; Lean Wang; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (ICLR, 2025)

Why Does the Effective Context Length of LLMs Fall Short? - Chenxin An; Jun Zhang 003; Ming Zhong 005; Lei Li 039; Shansan Gong; Yao Luo; Jingjing Xu 001; Lingpeng Kong (ICLR, 2025)

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. - Jiahui Gao; Renjie Pi; Jipeng Zhang; Jiacheng Ye; Wanjun Zhong; Yufei Wang 005; Lanqing Hong; Jianhua Han; Hang Xu 004; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

Scaling Diffusion Language Models via Adaptation from Autoregressive Models. - Shansan Gong; Shivam Agarwal; Yizhe Zhang 002; Jiacheng Ye; Lin Zheng; Mukai Li; Chenxin An; Peilin Zhao; Wei Bi; Jiawei Han 001; Hao Peng 009; Lingpeng Kong (ICLR, 2025)

Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration. - Qintong Li; Jiahui Gao; Sheng Wang; Renjie Pi; Xueliang Zhao; Chuan Wu; Xin Jiang; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

Non-myopic Generation of Language Models for Reasoning and Planning. - Chang Ma; Haiteng Zhao; Junlei Zhang; Junxian He; Lingpeng Kong (ICLR, 2025)

MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards. - Sheng Wang; Liheng Chen; Pengan Chen; Jingwei Dong; Boyang Xue; Jiyue Jiang; Lingpeng Kong; Chuan Wu (ICLR, 2025)

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. - Jiacheng Ye; Jiahui Gao; Shansan Gong; Lin Zheng; Xin Jiang; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

Implicit Search via Discrete Diffusion: A Study on Chess. - Jiacheng Ye; Zhenyu Wu; Jiahui Gao; Zhiyong Wu 003; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models. - Jiyue Jiang; Pengan Chen; Liheng Chen; Sheng Wang; Qinghang Bao; Lingpeng Kong; Yu Li; Chuan Wu (NAACL (Findings), 2025)

FactTrack: Time-Aware World State Tracking in Story Outlines. - Zhiheng Lyu; Kevin Yang; Lingpeng Kong; Dan Klein (NAACL (Long Papers), 2025)

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image. - Xijia Tao; Shuai Zhong; Lei Li 039; Qi Liu 049; Lingpeng Kong (NAACL (Long Papers), 2025)

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios. - Xiachong Feng; Longxu Dou; Minzhi Li; Qinghao Wang; Yu Guo; Haochuan Wang; Chang Ma; Lingpeng Kong (Trans. Mach. Learn. Res., 2025)

Autoregressive Models in Vision: A Survey. - Jing Xiong; Gongye Liu; Lun Huang; Chengyue Wu; Taiqiang Wu; Yao Mu 001; Yuan Yao; Hui Shen; Zhongwei Wan; Jinfa Huang; Chaofan Tao; Shen Yan; et al. (Trans. Mach. Learn. Res., 2025)

Teaching Language Models to Critique via Reinforcement Learning. - Zhihui Xie 002; Jie Chen; Liyu Chen; Weichao Mao; Jingjing Xu; Lingpeng Kong (CoRR, 2025)

ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. - Jing Xiong; Jianghan Shen; Chuanyang Zheng; Zhongwei Wan; Chenyang Zhao; Chiwun Yang; Fanghua Ye 001; Hongxia Yang; Lingpeng Kong; Ngai Wong 001 (CoRR, 2025)

BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning. - Haiteng Zhao; Chang Ma; Fangzhi Xu; Lingpeng Kong; Zhi-Hong Deng 001 (CoRR, 2025)

Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions. - Zirui Wu; Xiao Liu 032; Jiayi Li; Lingpeng Kong; Yansong Feng 002 (CoRR, 2025)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models. - Xueliang Zhao; Wei Wu 014; Jian Guan 002; Lingpeng Kong (CoRR, 2025)

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models. - Jiyue Jiang; Alfred Kar Yin Truong; Yanyu Chen; Qinghang Bao; Sheng Wang; Pengan Chen; Jiuming Wang; Lingpeng Kong; Yu Li 006; Chuan Wu (CoRR, 2025)

TEMPLE:Temporal Preference Learning of Video LLMs via Difficulty Scheduling and Pre-SFT Alignment. - Shicheng Li; Lei Li 039; Kun Ouyang; Shuhuai Ren; Yuanxin Liu; Yuanxing Zhang; Fuzheng Zhang; Lingpeng Kong; Qi Liu 049; Xu Sun 001 (CoRR, 2025)

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning. - Sheng Wang; Pengan Chen; Jingqi Zhou; Qintong Li; Jingwei Dong; Jiahui Gao; Boyang Xue; Jiyue Jiang; Lingpeng Kong; Chuan Wu (CoRR, 2025)

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos. - Linli Yao; Yicheng Li; Yuancheng Wei; Lei Li 039; Shuhuai Ren; Yuanxin Liu; Kun Ouyang; Lean Wang; Shicheng Li; Sida Li; Lingpeng Kong; Qi Liu 049; et al. (CoRR, 2025)

Audio-Visual Segmentation with Semantics. - Jinxing Zhou; Xuyang Shen; Jianyuan Wang; Jiayi Zhang; Weixuan Sun; Jing Zhang 052; Stan Birchfield; Dan Guo 001; Lingpeng Kong; Meng Wang 001; Yiran Zhong (Int. J. Comput. Vis., 2025)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)

Scaling Reasoning without Attention. - Xueliang Zhao; Wei Wu; Lingpeng Kong (CoRR, 2025)

SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. - Wendong Xu; Jing Xiong; Chenyang Zhao; Qiujiang Chen; Haoran Wang; Hui Shen; Zhongwei Wan; Jianbo Dai; Taiqiang Wu; He Xiao; Chaofan Tao; Z. Morley Mao; et al. (CoRR, 2025)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. - Shansan Gong; Ruixiang Zhang; Huangjie Zheng; Jiatao Gu; Navdeep Jaitly; Lingpeng Kong; Yizhe Zhang 002 (CoRR, 2025)

Dream 7B: Diffusion Large Language Models. - Jiacheng Ye; Zhihui Xie 002; Lin Zheng; Jiahui Gao; Zirui Wu; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (CoRR, 2025)