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2020 – today
- 2024
- [c71]Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue, Lingpeng Kong, Chuan Wu:
LoRA Meets Dropout under a Unified Framework. ACL (Findings) 2024: 1995-2008 - [c70]Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu:
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. ACL (Findings) 2024: 2057-2080 - [c69]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: 2829-2841 - [c68]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: 2961-2984 - [c67]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: 7255-7279 - [c66]Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong:
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. ACL (1) 2024: 7544-7565 - [c65]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: 9440-9450 - [c64]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. ACL (1) 2024: 14369-14387 - [c63]Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu:
L-Eval: Instituting Standardized Evaluation for Long Context Language Models. ACL (1) 2024: 14388-14411 - [c62]Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong:
Retrieved Sequence Augmentation for Protein Representation Learning. EMNLP 2024: 1738-1767 - [c61]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu:
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. EMNLP 2024: 6227-6246 - [c60]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 - [c59]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. ICML 2024 - [c58]Xueliang Zhao, Wenda Li, Lingpeng Kong:
Subgoal-based Demonstration Learning for Formal Theorem Proving. ICML 2024 - [c57]Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong:
Self-Infilling Code Generation. ICML 2024 - [c56]Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li:
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. NAACL-HLT (Findings) 2024: 2765-2781 - [i115]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 abs/2401.13178 (2024) - [i114]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 abs/2402.07456 (2024) - [i113]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 abs/2402.07754 (2024) - [i112]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 abs/2402.13577 (2024) - [i111]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 abs/2402.15809 (2024) - [i110]Sheng Wang, Boyang Xue, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu:
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA. CoRR abs/2402.16902 (2024) - [i109]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. CoRR abs/2402.17463 (2024) - [i108]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 abs/2402.19255 (2024) - [i107]Lei Li, Yuqi Wang
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. CoRR abs/2403.00231 (2024) - [i106]Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue, Lingpeng Kong, Chuan Wu:
LoRA Meets Dropout under a Unified Framework. CoRR abs/2403.00812 (2024) - [i105]Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong:
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image. CoRR abs/2403.02910 (2024) - [i104]Qiushi Sun
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR abs/2403.14734 (2024) - [i103]Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong:
Jailbreaking as a Reward Misspecification Problem. CoRR abs/2406.14393 (2024) - [i102]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 abs/2406.16567 (2024) - [i101]Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Daniel Klein:
FACTTRACK: Time-Aware World State Tracking in Story Outlines. CoRR abs/2407.16347 (2024) - [i100]Xueliang Zhao, Lin Zheng, Haige Bo, Changran Hu, Urmish Thakker, Lingpeng Kong:
SubgoalXL: Subgoal-based Expert Learning for Theorem Proving. CoRR abs/2408.11172 (2024) - [i99]Jiyue Jiang, Liheng Chen, Pengan Chen, Sheng Wang, Qinghang Bao, Lingpeng Kong, Yu Li, Chuan Wu:
How Far Can Cantonese NLP Go? Benchmarking Cantonese Capabilities of Large Language Models. CoRR abs/2408.16756 (2024) - [i98]Jiahui Gao, Renjie Pi, Tianyang Han, Han Wu, Lanqing Hong, Lingpeng Kong, Xin Jiang, Zhenguo Li:
CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration. CoRR abs/2409.11365 (2024) - [i97]Sheng Wang, Liheng Chen, Pengan Chen, Jingwei Dong, Boyang Xue, Jiyue Jiang, Lingpeng Kong, Chuan Wu:
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards. CoRR abs/2410.00938 (2024) - [i96]Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong:
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. CoRR abs/2410.02719 (2024) - [i95]Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong:
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. CoRR abs/2410.03090 (2024) - [i94]Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu:
Temporal Reasoning Transfer from Text to Video. CoRR abs/2410.06166 (2024) - [i93]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu:
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. CoRR abs/2410.09421 (2024) - [i92]Haochuan Wang, Xiachong Feng, Lei Li, Zhanyue Qin, Dianbo Sui, Lingpeng Kong:
TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs. CoRR abs/2410.10479 (2024) - [i91]Juntao Zhao, Wenhao Lu, Sheng Wang, Lingpeng Kong, Chuan Wu:
QSpec: Speculative Decoding with Complementary Quantization Schemes. CoRR abs/2410.11305 (2024) - [i90]Botian Jiang, Lei Li, Xiaonan Li, Zhaowei Li, Xiachong Feng, Lingpeng Kong, Qi Liu, Xipeng Qiu:
Understanding the Role of LLMs in Multimodal Evaluation Benchmarks. CoRR abs/2410.12329 (2024) - [i89]Jingqi Zhou, Sheng Wang, Jingwei Dong, Lei Li, Jiahui Gao, Lingpeng Kong, Chuan Wu:
ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom. CoRR abs/2410.14138 (2024) - [i88]Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. CoRR abs/2410.14157 (2024) - [i87]Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong:
Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration. CoRR abs/2410.16736 (2024) - [i86]Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong:
Non-myopic Generation of Language Models for Reasoning and Planning. CoRR abs/2410.17195 (2024) - [i85]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR abs/2410.17891 (2024) - [i84]Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong:
Why Does the Effective Context Length of LLMs Fall Short? CoRR abs/2410.18745 (2024) - 2023
- [j8]Weixuan Sun
Vicinity Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12635-12649 (2023) - [j7]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) - [c55]Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong:
Unsupervised Explanation Generation via Correct Instantiations. AAAI 2023: 12700-12708 - [c54]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: 1423-1436 - [c53]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: 10628-10640 - [c52]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: 11247-11266 - [c51]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: 11518-11533 - [c50]Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi:
Explanation Regeneration via Information Bottleneck. ACL (Findings) 2023: 12081-12102 - [c49]Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen:
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. ACL (1) 2023: 15948-15959 - [c48]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: 10585-10596 - [c47]Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu:
Generating Data for Symbolic Language with Large Language Models. EMNLP 2023: 8418-8443 - [c46]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: 9868-9875 - [c45]Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu:
Can Language Models Understand Physical Concepts? EMNLP 2023: 11843-11861 - [c44]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: 14172-14189 - [c43]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 - [c42]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. ICLR 2023 - [c41]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 - [c40]Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong:
Efficient Attention via Control Variates. ICLR 2023 - [c39]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. ICML 2023: 39818-39833 - [c38]Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. ICML 2023: 41194-41218 - [c37]Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li:
Statistical Knowledge Assessment for Large Language Models. NeurIPS 2023 - [c36]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 - [c35]Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. ECML/PKDD (2) 2023: 612-629 - [i83]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 abs/2301.13190 (2023) - [i82]Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong:
Efficient Attention via Control Variates. CoRR abs/2302.04542 (2023) - [i81]Mukai Li, Shansan Gong, Jiangtao Feng, Yiheng Xu, Jun Zhang, Zhiyong Wu, Lingpeng Kong:
In-Context Learning with Many Demonstration Examples. CoRR abs/2302.04931 (2023) - [i80]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. CoRR abs/2302.05698 (2023) - [i79]Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong:
A Reparameterized Discrete Diffusion Model for Text Generation. CoRR abs/2302.05737 (2023) - [i78]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 abs/2302.12563 (2023) - [i77]Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu:
A Challenging Benchmark for Low-Resource Learning. CoRR abs/2303.03840 (2023) - [i76]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 abs/2303.15616 (2023) - [i75]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 abs/2304.04675 (2023) - [i74]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 abs/2304.08821 (2023) - [i73]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 abs/2305.04749 (2023) - [i72]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 abs/2305.08200 (2023) - [i71]Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li:
Statistical Knowledge Assessment for Generative Language Models. CoRR abs/2305.10519 (2023) - [i70]Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong:
Optimizing Non-Autoregressive Transformers with Contrastive Learning. CoRR abs/2305.13667 (2023) - [i69]Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu:
Generating Data for Symbolic Language with Large Language Models. CoRR abs/2305.13917 (2023) - [i68]Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Qi Liu, Lingpeng Kong, Xu Sun:
Can Language Models Understand Physical Concepts? CoRR abs/2305.14057 (2023) - [i67]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 abs/2305.14167 (2023) - [i66]Xueliang Zhao, Wenda Li, Lingpeng Kong:
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving. CoRR abs/2305.16366 (2023) - [i65]Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu:
M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. CoRR abs/2306.04387 (2023) - [i64]Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen:
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. CoRR abs/2306.06381 (2023) - [i63]Jiacheng Ye, Xijia Tao, Lingpeng Kong:
Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability. CoRR abs/2306.06688 (2023) - [i62]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 abs/2306.13089 (2023) - [i61]Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong:
Linearized Relative Positional Encoding. CoRR abs/2307.09270 (2023) - [i60]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 abs/2307.11088 (2023) - [i59]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 abs/2308.04948 (2023) - [i58]Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong:
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. CoRR abs/2310.00280 (2023) - [i57]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. CoRR abs/2310.05793 (2023) - [i56]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 abs/2310.06830 (2023) - [i55]Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. CoRR abs/2310.09512 (2023) - [i54]Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong:
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. CoRR abs/2310.12960 (2023) - [i53]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 abs/2310.19740 (2023) - [i52]Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong:
Self-Infilling Code Generation. CoRR abs/2311.17972 (2023) - [i51]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 abs/2312.10665 (2023) - [i50]Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
Linear Attention via Orthogonal Memory. CoRR abs/2312.11135 (2023) - [i49]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 abs/2312.11370 (2023) - 2022
- [c34]Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong:
Event Transition Planning for Open-ended Text Generation. ACL (Findings) 2022: 3412-3426 - [c33]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. ACL (1) 2022: 7469-7483 - [c32]Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao:
Lexical Knowledge Internalization for Neural Dialog Generation. ACL (1) 2022: 7945-7958 - [c31]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: 386-403 - [c30]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: 602-631 - [c29]Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. EMNLP (Findings) 2022: 3671-3683 - [c28]Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong:
The Devil in Linear Transformer. EMNLP 2022: 7025-7041 - [c27]Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng:
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. EMNLP 2022: 10064-10070 - [c26]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: 11653-11669 - [c25]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 - [c24]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 - [c23]Lin Zheng, Huijie Pan, Lingpeng Kong:
Ripple Attention for Visual Perception with Sub-quadratic Complexity. ICML 2022: 26993-27010 - [c22]Lin Zheng, Chong Wang, Lingpeng Kong:
Linear Complexity Randomized Self-attention Mechanism. ICML 2022: 27011-27041 - [c21]Jakob Prange, Nathan Schneider, Lingpeng Kong:
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling. NAACL-HLT 2022: 4375-4391 - [c20]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. NeurIPS 2022 - [c19]Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier:
A Contrastive Framework for Neural Text Generation. NeurIPS 2022 - [i48]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 R. 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. CoRR abs/2201.05966 (2022) - [i47]Hao Wang, Yangguang Li, Zhen Huang, Yong Dou, Lingpeng Kong, Jing Shao:
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples. CoRR abs/2201.05979 (2022) - [i46]Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier:
A Contrastive Framework for Neural Text Generation. CoRR abs/2202.06417 (2022) - [i45]Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ZeroGen: Efficient Zero-shot Learning via Dataset Generation. CoRR abs/2202.07922 (2022) - [i44]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 abs/2202.08625 (2022) - [i43]Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong:
cosFormer: Rethinking Softmax in Attention. CoRR abs/2202.08791 (2022) - [i42]Lin Zheng, Chong Wang, Lingpeng Kong:
Linear Complexity Randomized Self-attention Mechanism. CoRR abs/2204.04667 (2022) - [i41]Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong:
Event Transition Planning for Open-ended Text Generation. CoRR abs/2204.09453 (2022) - [i40]Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao:
Lexical Knowledge Internalization for Neural Dialog Generation. CoRR abs/2205.01941 (2022) - [i39]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 abs/2205.02655 (2022) - [i38]Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong:
ZeroGen+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning. CoRR abs/2205.12679 (2022) - [i37]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. CoRR abs/2205.14690 (2022) - [i36]Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong:
Vicinity Vision Transformer. CoRR abs/2206.10552 (2022) - [i35]Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation. CoRR abs/2207.05042 (2022) - [i34]Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. CoRR abs/2210.07661 (2022) - [i33]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. CoRR abs/2210.08933 (2022) - [i32]Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong:
The Devil in Linear Transformer. CoRR abs/2210.10340 (2022) - [i31]Jiacheng Ye, Jiahui Gao, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. CoRR abs/2210.12329 (2022) - [i30]Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng:
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. CoRR abs/2210.13002 (2022) - [i29]Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong:
Unsupervised Explanation Generation via Correct Instantiations. CoRR abs/2211.11160 (2022) - [i28]Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi:
Explanation Regeneration via Information Bottleneck. CoRR abs/2212.09603 (2022) - [i27]Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong:
Self-adaptive In-context Learning. CoRR abs/2212.10375 (2022) - [i26]Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Jingjing Xu:
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation. CoRR abs/2212.10551 (2022) - 2021
- [j6]Lingpeng Kong, Yuanyuan Chen, Fengjiao Xu, Mingmin Xu, Zutan Li, Jingya Fang, Liangyun Zhang, Cong Pian:
Mining influential genes based on deep learning. BMC Bioinform. 22(1): 27 (2021) - [j5]Zutan Li, Hangjin Jiang
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species. PLoS Comput. Biol. 17(2) (2021) - [j4]Dani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong:
Adaptive Semiparametric Language Models. Trans. Assoc. Comput. Linguistics 9: 362-373 (2021) - [c18]Lin Zheng, Zhiyong Wu, Lingpeng Kong:
Cascaded Head-colliding Attention. ACL/IJCNLP (1) 2021: 536-549 - [c17]Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao:
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. ACL/IJCNLP (1) 2021: 6153-6166 - [c16]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. ICLR 2021 - [i25]Dani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong:
Adaptive Semiparametric Language Models. CoRR abs/2102.02557 (2021) - [i24]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. CoRR abs/2103.02143 (2021) - [i23]Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao:
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. CoRR abs/2105.14462 (2021) - [i22]Lin Zheng, Zhiyong Wu, Lingpeng Kong:
Cascaded Head-colliding Attention. CoRR abs/2105.14850 (2021) - [i21]Lin Zheng, Huijie Pan, Lingpeng Kong:
Ripple Attention for Visual Perception with Sub-quadratic Complexity. CoRR abs/2110.02453 (2021) - [i20]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. CoRR abs/2110.02488 (2021) - [i19]Jakob Prange, Nathan Schneider, Lingpeng Kong:
Oracle Linguistic Graphs Complement a Pretrained Transformer Language Model: A Cross-formalism Comparison. CoRR abs/2112.07874 (2021) - 2020
- [j3]Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Better Document-Level Machine Translation with Bayes' Rule. Trans. Assoc. Comput. Linguistics 8: 346-360 (2020) - [j2]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics 8: 776-794 (2020) - [c15]Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama:
A Mutual Information Maximization Perspective of Language Representation Learning. ICLR 2020 - [i18]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR abs/2005.13482 (2020)
2010 – 2019
- 2019
- [c14]Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama:
Variational Smoothing in Recurrent Neural Network Language Models. ICLR (Poster) 2019 - [c13]Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama:
Episodic Memory in Lifelong Language Learning. NeurIPS 2019: 13122-13131 - [i17]Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama:
Variational Smoothing in Recurrent Neural Network Language Models. CoRR abs/1901.09296 (2019) - [i16]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:
Learning and Evaluating General Linguistic Intelligence. CoRR abs/1901.11373 (2019) - [i15]Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama:
Episodic Memory in Lifelong Language Learning. CoRR abs/1906.01076 (2019) - [i14]Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Putting Machine Translation in Context with the Noisy Channel Model. CoRR abs/1910.00553 (2019) - [i13]Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Zihang Dai, Dani Yogatama:
A Mutual Information Maximization Perspective of Language Representation Learning. CoRR abs/1910.08350 (2019) - 2018
- [i12]Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou:
Neural Phrase-to-Phrase Machine Translation. CoRR abs/1811.02172 (2018) - [i11]Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling:
Sentence Encoding with Tree-constrained Relation Networks. CoRR abs/1811.10475 (2018) - 2017
- [j1]Hao Tang
End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1254-1264 (2017) - [c12]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) 2017: 1249-1258 - [c11]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multitask Learning with CTC and Segmental CRF for Speech Recognition. INTERSPEECH 2017: 954-958 - [i10]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:
DyNet: The Dynamic Neural Network Toolkit. CoRR abs/1701.03980 (2017) - [i9]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Multi-task Learning with CTC and Segmental CRF for Speech Recognition. CoRR abs/1702.06378 (2017) - [i8]Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, David Weiss:
DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks. CoRR abs/1703.04474 (2017) - [i7]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:
SyntaxNet Models for the CoNLL 2017 Shared Task. CoRR abs/1703.04929 (2017) - [i6]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. CoRR abs/1708.00531 (2017) - 2016
- [c10]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. EMNLP 2016: 1744-1753 - [c9]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals
Segmental Recurrent Neural Networks for End-to-End Speech Recognition. INTERSPEECH 2016: 385-389 - [c8]Lingpeng Kong, Chris Dyer, Noah A. Smith:
Segmental Recurrent Neural Networks. ICLR (Poster) 2016 - [i5]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals:
Segmental Recurrent Neural Networks for End-to-end Speech Recognition. CoRR abs/1603.00223 (2016) - [i4]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. CoRR abs/1609.07561 (2016) - [i3]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR abs/1611.05774 (2016) - 2015
- [c7]Ting-Hao K. Huang, Yun-Nung Chen, Lingpeng Kong:
ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer. SIGHAN@IJCNLP 2015: 26-31 - [c6]Dani Yogatama, Lingpeng Kong, Noah A. Smith:
Bayesian Optimization of Text Representations. EMNLP 2015: 2100-2105 - [c5]Lingpeng Kong, Alexander M. Rush
Transforming Dependencies into Phrase Structures. HLT-NAACL 2015: 788-798 - [i2]Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein:
Document Context Language Models. CoRR abs/1511.03962 (2015) - 2014
- [c4]Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith:
A Dependency Parser for Tweets. EMNLP 2014: 1001-1012 - [c3]William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen:
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. EMNLP 2014: 1152-1158 - [i1]Lingpeng Kong, Noah A. Smith:
An Empirical Comparison of Parsing Methods for Stanford Dependencies. CoRR abs/1404.4314 (2014) - 2011
- [c2]Likun Qiu, Lei Wu, Kai Zhao, Changjian Hu, Lingpeng Kong:
Improving Chinese Dependency Parsing with Self-Disambiguating Patterns. IALP 2011: 7-10 - [c1]Lingpeng Kong, Likun Qiu:
Formalization and Rules for Recognition of Satirical Irony. IALP 2011: 135-138
Coauthor Index
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