Lingpeng Kong

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 163

Top Venues

Publications

Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang
Empowering Large Language Model Agents through Action Learning. CoRR (2024)
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models. CoRR (2024)
Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents. CoRR (2024)
Jiyue Jiang, Liheng Chen, Sheng Wang, Lingpeng Kong, Yu Li, Chuan Wu
Data Augmentation of Multi-turn Psychological Dialogue via Knowledge-driven Progressive Thought Prompting. CoRR (2024)
Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers. ACL (1) (2024)
Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. CoRR (2024)
Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue, Lingpeng Kong, Chuan Wu
LoRA Meets Dropout under a Unified Framework. ACL (Findings) (2024)
Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. CoRR (2024)
Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
Training-Free Long-Context Scaling of Large Language Models. CoRR (2024)
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR (2024)
Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers. CoRR (2024)
Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. ACL (Findings) (2024)
Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong
Jailbreaking as a Reward Misspecification Problem. CoRR (2024)
Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. ACL (1) (2024)
Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Daniel Klein
FACTTRACK: Time-Aware World State Tracking in Story Outlines. CoRR (2024)
Zhiyong Wu, Chengcheng Han, Zichen Ding, Zhenmin Weng, Zhoumianze Liu, Shunyu Yao, Tao Yu, Lingpeng Kong
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement. CoRR (2024)
Sheng Wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA. CoRR (2024)
Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image. CoRR (2024)
Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue, Lingpeng Kong, Chuan Wu
LoRA Meets Dropout under a Unified Framework. CoRR (2024)
Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui
Large Language Models are not Fair Evaluators. ACL (1) (2024)
Sheng Wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA. ACL (1) (2024)
Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. ACL (Findings) (2024)
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
Lemur: Harmonizing Natural Language and Code for Language Agents. ICLR (2024)
Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi
Explanation Regeneration via Information Bottleneck. ACL (Findings) (2023)
Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang
DetGPT: Detect What You Need via Reasoning. CoRR (2023)
Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong
Toeplitz Neural Network for Sequence Modeling. ICLR (2023)
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. ICLR (2023)
Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong
A Reparameterized Discrete Diffusion Model for Text Generation. CoRR (2023)
Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu
A Challenging Benchmark for Low-Resource Learning. CoRR (2023)
Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang
DetGPT: Detect What You Need via Reasoning. EMNLP (2023)
Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong
Linearized Relative Positional Encoding. Trans. Mach. Learn. Res. 2023 (2023)
Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. ICML (2023)
Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. CoRR (2023)
Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
Statistical Knowledge Assessment for Large Language Models. NeurIPS (2023)
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong
Compositional Exemplars for In-context Learning. CoRR (2023)
Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong
Fine-grained Audible Video Description. CVPR (2023)
Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. CoRR (2023)
Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu
Can Language Models Understand Physical Concepts? EMNLP (2023)
Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li
Extrapolating Large Language Models to Non-English by Aligning Languages. CoRR (2023)
Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong
Unsupervised Explanation Generation via Correct Instantiations. AAAI (2023)
Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Yu Qiao, Jingjing Xu
Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation. ACL (Findings) (2023)
Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. NeurIPS (2023)
Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. CoRR (2023)
Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Qi Liu, Lingpeng Kong, Xu Sun
Can Language Models Understand Physical Concepts? CoRR (2023)
Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. EMNLP (Findings) (2023)
Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. CoRR (2023)
Qintong Li, Leyang Cui, Lingpeng Kong, Wei Bi
Collaborative Evaluation: Exploring the Synergy of Large Language Models and Humans for Open-ended Generation Evaluation. CoRR (2023)
Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. ICLR (2023)
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong
Compositional Exemplars for In-context Learning. ICML (2023)
Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering. ACL (1) (2023)
Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong
Fine-grained Audible Video Description. CoRR (2023)
Jiyue Jiang, Sheng Wang, Qintong Li, Lingpeng Kong, Chuan Wu
A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment. CoRR (2023)
Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong
Audio-Visual Segmentation with Semantics. CoRR (2023)
Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong
Toeplitz Neural Network for Sequence Modeling. CoRR (2023)
Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
L-Eval: Instituting Standardized Evaluation for Long Context Language Models. CoRR (2023)
Xueliang Zhao, Wenda Li, Lingpeng Kong
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving. CoRR (2023)
Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu
Generating Data for Symbolic Language with Large Language Models. CoRR (2023)
Xueliang Zhao, Tingchen Fu, Lemao Liu, Lingpeng Kong, Shuming Shi, Rui Yan
SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. ACL (Findings) (2023)
Jiacheng Ye, Xijia Tao, Lingpeng Kong
Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability. CoRR (2023)
Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi-Hong Deng, Lingpeng Kong, Qi Liu
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. CoRR (2023)
Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models. CoRR (2023)
Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. ECML/PKDD (2) (2023)
Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong
Linearized Relative Positional Encoding. CoRR (2023)
Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
Linear Attention via Orthogonal Memory. CoRR (2023)
Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong
Retrieved Sequence Augmentation for Protein Representation Learning. CoRR (2023)
Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. ACL (1) (2023)
Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. CoRR (2023)
Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
Statistical Knowledge Assessment for Generative Language Models. CoRR (2023)
Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong
Efficient Attention via Control Variates. ICLR (2023)
Jiyue Jiang, Sheng Wang, Qintong Li, Lingpeng Kong, Chuan Wu
A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment. ACL (1) (2023)
Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong
Vicinity Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong
Silkie: Preference Distillation for Large Visual Language Models. CoRR (2023)
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. CoRR (2023)
Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong
Self-Infilling Code Generation. CoRR (2023)
Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu
Generating Data for Symbolic Language with Large Language Models. EMNLP (2023)
Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu
IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. CoRR (2023)
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
Lemur: Harmonizing Natural Language and Code for Language Agents. CoRR (2023)
Mukai Li, Shansan Gong, Jiangtao Feng, Yiheng Xu, Jun Zhang, Zhiyong Wu, Lingpeng Kong
In-Context Learning with Many Demonstration Examples. CoRR (2023)
Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Jiajun Chen, Lei Li, Shujian Huang
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. CoRR (2023)
Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong
Efficient Attention via Control Variates. CoRR (2023)
Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong
cosFormer: Rethinking Softmax In Attention. ICLR (2022)
Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi
Explanation Regeneration via Information Bottleneck. CoRR (2022)
Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier
Language Models Can See: Plugging Visual Controls in Text Generation. CoRR (2022)
Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong
Event Transition Planning for Open-ended Text Generation. CoRR (2022)
Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. CoRR (2022)
Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
ZeroGen: Efficient Zero-shot Learning via Dataset Generation. EMNLP (2022)
Lin Zheng, Huijie Pan, Lingpeng Kong
Ripple Attention for Visual Perception with Sub-quadratic Complexity. ICML (2022)
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
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP (2022)
Jiacheng Ye, Jiahui Gao, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. CoRR (2022)
Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong
The Devil in Linear Transformer. CoRR (2022)
Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong
Unsupervised Explanation Generation via Correct Instantiations. CoRR (2022)
Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
CoNT: Contrastive Neural Text Generation. CoRR (2022)
Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning. CoRR (2022)
Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok
Revisiting Over-smoothing in BERT from the Perspective of Graph. CoRR (2022)
Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier
A Contrastive Framework for Neural Text Generation. NeurIPS (2022)
Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok
Revisiting Over-smoothing in BERT from the Perspective of Graph. ICLR (2022)
Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. CoRR (2022)
Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong
Audio-Visual Segmentation. ECCV (37) (2022)
Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong
The Devil in Linear Transformer. EMNLP (2022)
Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
CoNT: Contrastive Neural Text Generation. NeurIPS (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lingpeng Kong