Kong, Lingpeng

58 publications

ICLR 2026 ATTS: Asynchronous Test-Time Scaling via Conformal Prediction Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Alexander Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong

ICLR 2026 DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang

ICLR 2026 DreamOn: Diffusion Language Models for Code Infilling Beyond Fixed-Size Canvas Zirui Wu, Lin Zheng, Zhihui Xie, Jiacheng Ye, Jiahui Gao, Shansan Gong, Yansong Feng, Zhenguo Li, Wei Bi, Guorui Zhou, Lingpeng Kong

ICLR 2026 MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents Xijia Tao, Teng Yihua, Xinxing Su, Xinyu Fu, Jihao Wu, Chaofan Tao, Ziru Liu, Haoli Bai, Rui Liu, Lingpeng Kong

ICLR 2026 PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra Xiachong Feng, Liang Zhao, Weihong Zhong, Yichong Huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin

ICLR 2026 SWINGARENA: Adversarial 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, Zhuoqing Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong

ICLR 2026 ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu

TMLR 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

TMLR 2025 Autoregressive Models in Vision: A Survey Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong

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

NeurIPS 2025 DynaAct: Large Language Model Reasoning with Dynamic Action Spaces Xueliang Zhao, Wei Wu, Jian Guan, Qintong Li, 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 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

ICLR 2025 Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

ICLR 2025 Jailbreaking as a Reward Misspecification Problem Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, 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 Non-Myopic Generation of Language Models for Reasoning and Planning Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong

ICML 2025 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

ICLR 2025 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

ICML 2025 Teaching Language Models to Critique via Reinforcement Learning Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong

ICLRW 2025 Teaching Language Models to Critique via Reinforcement Learning Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong

ICLR 2025 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

NeurIPS 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

CVPR 2025 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

ICLR 2025 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

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

ICLRW 2024 AgentBoard: An Analytical Evaluation Board of Multi-Turn LLM Agents Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He

ICLRW 2024 Corex: Pushing the Boundaries of Complex Reasoning Through Multi-Model Collaboration Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong

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

ICLR 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, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu

ICLRW 2024 OS-Copilot: Towards Generalist Computer Agents with Self-Improvement Zhiyong Wu, Chengcheng Han, Zichen Ding, Zhenmin Weng, Zhoumianze Liu, Shunyu Yao, Tao Yu, Lingpeng Kong

ICML 2024 Self-Infilling Code Generation Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong

ICML 2024 Subgoal-Based Demonstration Learning for Formal Theorem Proving Xueliang Zhao, Wenda Li, Lingpeng Kong

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

ECML-PKDD 2023 Attentive Multi-Layer Perceptron for Non-Autoregressive Generation Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

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

ICML 2023 Compositional Exemplars for In-Context Learning Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong

ICLR 2023 DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

ICLR 2023 Efficient Attention via Control Variates Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong

CVPR 2023 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

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

TMLR 2023 Linearized Relative Positional Encoding Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong

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

NeurIPS 2023 Statistical Knowledge Assessment for Large Language Models Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

ICLR 2023 Toeplitz Neural Network for Sequence Modeling Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong

AAAI 2023 Unsupervised Explanation Generation via Correct Instantiations Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong

NeurIPS 2022 A Contrastive Framework for Neural Text Generation Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier

ECCV 2022 Audio—Visual Segmentation Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong

NeurIPS 2022 CoNT: Contrastive Neural Text Generation Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang

ICML 2022 Linear Complexity Randomized Self-Attention Mechanism Lin Zheng, Chong Wang, Lingpeng Kong

ICLR 2022 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 Kwok

ICML 2022 Ripple Attention for Visual Perception with Sub-Quadratic Complexity Lin Zheng, Huijie Pan, Lingpeng Kong

ICLR 2022 cosFormer: Rethinking SoftMax in Attention Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong

ICLR 2021 Random Feature Attention Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah Smith, Lingpeng Kong

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

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

ICLR 2019 Variational Smoothing in Recurrent Neural Network Language Models Lingpeng Kong, Gabor Melis, Wang Ling, Lei Yu, Dani Yogatama

ICLR 2016 Segmental Recurrent Neural Networks Lingpeng Kong, Chris Dyer, Noah A. Smith