Lingpeng Kong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
92
Venues
11
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
92 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment. | Shicheng Li, Lei Li, Kun Ouyang, Shuhuai Ren, Yuanxin Liu, Yuanxing Zhang, Fuzheng Zhang, Lingpeng Kong, Qi Liu, Xu Sun |
| 2026 | ACL | SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution. | Xiachong Feng, Yi Jiang, Xiaocheng Feng, Deyi Yin, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Yuxuan Gu, Chonghan Qin, Bing Qin, Lingpeng Kong |
| 2026 | ACL | Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play. | Xiachong Feng, Deyi Yin, Xiaocheng Feng, Yi Jiang, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Qiming Li, Yuxuan Gu, Bing Qin, Lingpeng Kong |
| 2026 | ACL | ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models. | Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong |
| 2026 | ACL | OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows. | Qiushi Sun, Mukai Li, Zhoumianze Liu, Zhihui Xie, Fangzhi Xu, Zhangyue Yin, Kanzhi Cheng, Zehao Li, Zichen Ding, Qi Liu, Zhiyong Wu, Zhuosheng Zhang, Ben Kao, Lingpeng Kong |
| 2025 | ACL | Reasoning Does Not Necessarily Improve Role-Playing Ability. | Xiachong Feng, Longxu Dou, Lingpeng Kong |
| 2025 | ACL | Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning. | Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yuxuan Gu, Yangfan Ye, Liang Zhao, Weihong Zhong, Baoxin Wang, Dayong Wu, Guoping Hu, Lingpeng Kong, Tong Xiao, Ting Liu, Bing Qin |
| 2025 | ACL | PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models. | Xueliang Zhao, Wei Wu, Jian Guan, Lingpeng Kong |
| 2025 | COLING | Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks. | Qintong Li, Leyang Cui, Lingpeng Kong, Wei Bi |
| 2025 | CVPR | VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. | Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu |
| 2025 | EMNLP | Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition. | Chenxin An, Zhihui Xie, Xiaonan Li, Ming Zhong, Shansan Gong, Lei Li, Jun Zhang, Jingjing Xu, Lingpeng Kong |
| 2025 | EMNLP | 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, Chuan Wu |
| 2025 | EMNLP | Recipe2Plan: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions. | Zirui Wu, Xiao Liu, Jiayi Li, Lingpeng Kong, Yansong Feng |
| 2025 | EMNLP | UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective. | Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Min Yang, Lingpeng Kong, Ngai Wong |
| 2025 | EMNLP | QSpec: Speculative Decoding with Complementary Quantization Schemes. | Juntao Zhao, Wenhao Lu, Sheng Wang, Lingpeng Kong, Chuan Wu |
| 2025 | EMNLP | ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom. | Jingqi Zhou, Sheng Wang, Jingwei Dong, Kai Liu, Lei Li, Jiahui Gao, Jiyue Jiang, Lingpeng Kong, Chuan Wu |
| 2025 | ICLR | Jailbreaking as a Reward Misspecification Problem. | Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong |
| 2025 | ICLR | Temporal Reasoning Transfer from Text to Video. | Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu |
| 2025 | ICLR | Why Does the Effective Context Length of LLMs Fall Short? | Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong |
| 2025 | ICLR | G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. | Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong |
| 2025 | ICLR | Scaling Diffusion Language Models via Adaptation from Autoregressive Models. | Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Non-myopic Generation of Language Models for Reasoning and Planning. | Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. | Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong |
| 2025 | ICLR | Implicit Search via Discrete Diffusion: A Study on Chess. | Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong |
| 2025 | ICML | Teaching Language Models to Critique via Reinforcement Learning. | Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong |
| 2025 | ICML | ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. | Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong |
| 2025 | NAACL | 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 |
| 2025 | NAACL | FactTrack: Time-Aware World State Tracking in Story Outlines. | Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Dan Klein |
| 2025 | NAACL | ImgTrojan: Jailbreaking Vision-Language Models with ONE Image. | Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong |
| 2024 | ACL | Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. | Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu |
| 2024 | ACL | L-Eval: Instituting Standardized Evaluation for Long Context Language Models. | Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu |
| 2024 | ACL | 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 |
| 2024 | ACL | LoRA Meets Dropout under a Unified Framework. | Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue, Lingpeng Kong, Chuan Wu |
| 2024 | ACL | Large Language Models are not Fair Evaluators. | Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui |
| 2024 | ACL | Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. | Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu |
| 2024 | ACL | PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA. | Sheng Wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu |
| 2024 | ACL | SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. | Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong |
| 2024 | ACL | 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 |
| 2024 | EMNLP | VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. | Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu |
| 2024 | EMNLP | Retrieved Sequence Augmentation for Protein Representation Learning. | Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong |
| 2024 | ICLR | 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, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu |
| 2024 | ICML | Training-Free Long-Context Scaling of Large Language Models. | Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong |
| 2024 | ICML | Subgoal-based Demonstration Learning for Formal Theorem Proving. | Xueliang Zhao, Wenda Li, Lingpeng Kong |
| 2024 | ICML | Self-Infilling Code Generation. | Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong |
| 2024 | NAACL | Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. | Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li |
| 2023 | AAAI | Unsupervised Explanation Generation via Correct Instantiations. | Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong |
| 2023 | ACL | Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering. | Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong |
| 2023 | ACL | 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 |
| 2023 | ACL | Explanation Regeneration via Information Bottleneck. | Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi |
| 2023 | ACL | Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation. | Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Yu Qiao, Jingjing Xu |
| 2023 | ACL | SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. | Xueliang Zhao, Tingchen Fu, Lemao Liu, Lingpeng Kong, Shuming Shi, Rui Yan |
| 2023 | ACL | INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. | Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen |
| 2023 | CVPR | Fine-grained Audible Video Description. | Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong |
| 2023 | EMNLP | DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. | Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong |
| 2023 | EMNLP | Can Language Models Understand Physical Concepts? | Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu |
| 2023 | EMNLP | DetGPT: Detect What You Need via Reasoning. | Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang |
| 2023 | EMNLP | Generating Data for Symbolic Language with Large Language Models. | Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu |
| 2023 | ICLR | Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. | Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong |
| 2023 | ICLR | DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. | Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong |
| 2023 | ICLR | Toeplitz Neural Network for Sequence Modeling. | Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong |
| 2023 | ICLR | Efficient Attention via Control Variates. | Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong |
| 2023 | ICML | Compositional Exemplars for In-context Learning. | Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong |
| 2023 | ICML | CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. | Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong |
| 2022 | ACL | Lexical Knowledge Internalization for Neural Dialog Generation. | Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao |
| 2022 | ACL | Event Transition Planning for Open-ended Text Generation. | Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong |
| 2022 | ACL | ABC: Attention with Bounded-memory Control. | Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith |
| 2022 | ECCV | Audio-Visual Segmentation. | Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong |
| 2022 | EMNLP | The Devil in Linear Transformer. | Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2022 | EMNLP | ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. | Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong |
| 2022 | EMNLP | ZeroGen: Efficient Zero-shot Learning via Dataset Generation. | Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong |
| 2022 | EMNLP | An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. | Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng |
| 2022 | ICLR | cosFormer: Rethinking Softmax In Attention. | Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong |
| 2022 | ICLR | Revisiting Over-smoothing in BERT from the Perspective of Graph. | Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok |
| 2022 | ICML | Ripple Attention for Visual Perception with Sub-quadratic Complexity. | Lin Zheng, Huijie Pan, Lingpeng Kong |
| 2022 | ICML | Linear Complexity Randomized Self-attention Mechanism. | Lin Zheng, Chong Wang, Lingpeng Kong |
| 2022 | NAACL | Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling. | Jakob Prange, Nathan Schneider, Lingpeng Kong |
| 2021 | ACL | Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. | Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao |
| 2021 | ACL | Cascaded Head-colliding Attention. | Lin Zheng, Zhiyong Wu, Lingpeng Kong |
| 2021 | ICLR | Random Feature Attention. | Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong |
| 2020 | ICLR | A Mutual Information Maximization Perspective of Language Representation Learning. | Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama |
| 2019 | ICLR | Variational Smoothing in Recurrent Neural Network Language Models. | Lingpeng Kong, Gbor Melis, Wang Ling, Lei Yu, Dani Yogatama |
| 2017 | EACL | What Do Recurrent Neural Network Grammars Learn About Syntax? | Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith |
| 2017 | Interspeech | Multitask Learning with CTC and Segmental CRF for Speech Recognition. | Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith |
| 2016 | EMNLP | Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. | Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith |
| 2016 | Interspeech | Segmental Recurrent Neural Networks for End-to-End Speech Recognition. | Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals |
| 2015 | EMNLP | Bayesian Optimization of Text Representations. | Dani Yogatama, Lingpeng Kong, Noah A. Smith |
| 2015 | NAACL | Transforming Dependencies into Phrase Structures. | Lingpeng Kong, Alexander M. Rush, Noah A. Smith |
| 2014 | EMNLP | A Dependency Parser for Tweets. | Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith |
| 2014 | EMNLP | Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. | William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen |