Lingpeng Kong

According to our database, Lingpeng Kong authored at least 140 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

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

CoRR, 2024

Non-myopic Generation of Language Models for Reasoning and Planning.

Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, 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, Zhenguo Li, Lingpeng Kong

CoRR, 2024

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.

Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

CoRR, 2024

ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom.

Jingqi Zhou, Sheng Wang, Jingwei Dong, Lei Li, Jiahui Gao, Lingpeng Kong, Chuan Wu

CoRR, 2024

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks.

Botian Jiang, Lei Li, Xiaonan Li, Zhaowei Li, Xiachong Feng, Lingpeng Kong, Qi Liu, Xipeng Qiu

CoRR, 2024

QSpec: Speculative Decoding with Complementary Quantization Schemes.

Juntao Zhao, Wenhao Lu, Sheng Wang, Lingpeng Kong, Chuan Wu

CoRR, 2024

TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs.

Haochuan Wang, Xiachong Feng, Lei Li, Zhanyue Qin, Dianbo Sui, Lingpeng Kong

CoRR, 2024

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

CoRR, 2024

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference.

Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong

CoRR, 2024

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation.

Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong

CoRR, 2024

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

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, Zhenguo Li

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

SubgoalXL: Subgoal-based Expert Learning for Theorem Proving.

Xueliang Zhao, Lin Zheng, Haige Bo, Changran Hu, Urmish Thakker, Lingpeng Kong

CoRR, 2024

FACTTRACK: Time-Aware World State Tracking in Story Outlines.

Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Daniel Klein

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, Chuan Wu

CoRR, 2024

Jailbreaking as a Reward Misspecification Problem.

Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong

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, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu

CoRR, 2024

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image.

Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong

CoRR, 2024

Empowering Large Language Model Agents through Action Learning.

Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang

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

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

CoRR, 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

CoRR, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Self-Infilling Code Generation.

Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Subgoal-based Demonstration Learning for Formal Theorem Proving.

Xueliang Zhao, Wenda Li, Lingpeng Kong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Training-Free Long-Context Scaling of Large Language Models.

Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving.

Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA.

Sheng Wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation.

Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LoRA Meets Dropout under a Unified Framework.

Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue, Lingpeng Kong, Chuan Wu

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Vicinity Vision Transformer.

Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Linearized Relative Positional Encoding.

Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong

Trans. Mach. Learn. Res., 2023

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

CoRR, 2023

Linear Attention via Orthogonal Memory.

Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

CoRR, 2023

Silkie: Preference Distillation for Large Visual Language Models.

Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, 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

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.

Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong

CoRR, 2023

Extrapolating Large Language Models to Non-English by Aligning Languages.

Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li

CoRR, 2023

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu

CoRR, 2023

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning.

Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi-Hong Deng, Lingpeng Kong, Qi Liu

CoRR, 2023

Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability.

Jiacheng Ye, Xijia Tao, Lingpeng Kong

CoRR, 2023

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation.

Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen

CoRR, 2023

M³IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.

Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu

CoRR, 2023

Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving.

Xueliang Zhao, Wenda Li, Lingpeng Kong

CoRR, 2023

Optimizing Non-Autoregressive Transformers with Contrastive Learning.

Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong

CoRR, 2023

Statistical Knowledge Assessment for Generative Language Models.

Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

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

CoRR, 2023

A Challenging Benchmark for Low-Resource Learning.

Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu

CoRR, 2023

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, Lingpeng Kong

CoRR, 2023

A Reparameterized Discrete Diffusion Model for Text Generation.

Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong

CoRR, 2023

In-Context Learning with Many Demonstration Examples.

Mukai Li, Shansan Gong, Jiangtao Feng, Yiheng Xu, Jun Zhang, Zhiyong Wu, Lingpeng Kong

CoRR, 2023

Audio-Visual Segmentation with Semantics.

Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong

CoRR, 2023

Attentive Multi-Layer Perceptron for Non-autoregressive Generation.

Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning.

Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Statistical Knowledge Assessment for Large Language Models.

Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling.

Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

Proceedings of the International Conference on Machine Learning, 2023

Compositional Exemplars for In-context Learning.

Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong

Proceedings of the International Conference on Machine Learning, 2023

Efficient Attention via Control Variates.

Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generating Data for Symbolic Language with Large Language Models.

Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can Language Models Understand Physical Concepts?

Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models.

Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation.

Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation.

Xueliang Zhao, Tingchen Fu, Lemao Liu, Lingpeng Kong, Shuming Shi, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation.

Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Yu Qiao, Jingjing Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Explanation Regeneration via Information Bottleneck.

Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.

Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unsupervised Explanation Generation via Correct Instantiations.

Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation.

Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Jingjing Xu

CoRR, 2022

Self-adaptive In-context Learning.

Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong

CoRR, 2022

ZeroGen⁺: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning.

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

CoRR, 2022

Language Models Can See: Plugging Visual Controls in Text Generation.

Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier

CoRR, 2022

SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples.

Hao Wang, Yangguang Li, Zhen Huang, Yong Dou, Lingpeng Kong, Jing Shao

CoRR, 2022

A Contrastive Framework for Neural Text Generation.

Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CoNT: Contrastive Neural Text Generation.

Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling.

Jakob Prange, Nathan Schneider, Lingpeng Kong

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Linear Complexity Randomized Self-attention Mechanism.

Lin Zheng, Chong Wang, Lingpeng Kong

Proceedings of the International Conference on Machine Learning, 2022

Ripple Attention for Visual Perception with Sub-quadratic Complexity.

Lin Zheng, Huijie Pan, Lingpeng Kong

Proceedings of the International Conference on Machine Learning, 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 T. Kwok

Proceedings of the Tenth International Conference on Learning Representations, 2022

cosFormer: Rethinking Softmax In Attention.

Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks.

Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ZeroGen: Efficient Zero-shot Learning via Dataset Generation.

Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback.

Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

The Devil in Linear Transformer.

Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Audio-Visual Segmentation.

Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong

Proceedings of the Computer Vision - ECCV 2022, 2022

ABC: Attention with Bounded-memory Control.

Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Event Transition Planning for Open-ended Text Generation.

Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Lexical Knowledge Internalization for Neural Dialog Generation.

Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Adaptive Semiparametric Language Models.

Dani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong

Trans. Assoc. Comput. Linguistics, 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

Oracle Linguistic Graphs Complement a Pretrained Transformer Language Model: A Cross-formalism Comparison.

Jakob Prange, Nathan Schneider, Lingpeng Kong

CoRR, 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

Random Feature Attention.

Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong

Proceedings of the 9th International Conference on Learning Representations, 2021

Cascaded Head-colliding Attention.

Lin Zheng, Zhiyong Wu, Lingpeng Kong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Better Document-Level Machine Translation with Bayes' Rule.

Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

Trans. Assoc. Comput. Linguistics, 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

A Mutual Information Maximization Perspective of Language Representation Learning.

Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Putting Machine Translation in Context with the Noisy Channel Model.

Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

CoRR, 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, Chris Dyer, Phil Blunsom

CoRR, 2019

Episodic Memory in Lifelong Language Learning.

Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Smoothing in Recurrent Neural Network Language Models.

Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Sentence Encoding with Tree-constrained Relation Networks.

Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling

CoRR, 2018

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

2017

End-to-End Neural Segmental Models for Speech Recognition.

Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals

IEEE J. Sel. Top. Signal Process., 2017

DyNet: The Dynamic Neural Network Toolkit.

Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin

CoRR, 2017

Multi-task Learning with CTC and Segmental CRF for Speech Recognition.

Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith

CoRR, 2017

DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks.

Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, David Weiss

CoRR, 2017

SyntaxNet Models for the CoNLL 2017 Shared Task.

Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss

CoRR, 2017

Multitask Learning with CTC and Segmental CRF for Speech Recognition.

Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

What Do Recurrent Neural Network Grammars Learn About Syntax?

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Segmental Recurrent Neural Networks.

Lingpeng Kong, Chris Dyer, Noah A. Smith

Proceedings of the 4th International Conference on Learning Representations, 2016

Segmental Recurrent Neural Networks for End-to-End Speech Recognition.

Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser.

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Document Context Language Models.

Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein

CoRR, 2015

Transforming Dependencies into Phrase Structures.

Lingpeng Kong, Alexander M. Rush, Noah A. Smith

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Bayesian Optimization of Text Representations.

Dani Yogatama, Lingpeng Kong, Noah A. Smith

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer.

Ting-Hao K. Huang, Yun-Nung Chen, Lingpeng Kong

Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, 2015

2014

An Empirical Comparison of Parsing Methods for Stanford Dependencies.

Lingpeng Kong, Noah A. Smith

CoRR, 2014

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach.

William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Dependency Parser for Tweets.

Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2011

Improving Chinese Dependency Parsing with Self-Disambiguating Patterns.

Likun Qiu, Lei Wu, Kai Zhao, Changjian Hu, Lingpeng Kong

Proceedings of the International Conference on Asian Language Processing, 2011

Formalization and Rules for Recognition of Satirical Irony.

Lingpeng Kong, Likun Qiu

Proceedings of the International Conference on Asian Language Processing, 2011