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2020 – today
- 2023
[j7]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): 12635-12649 (2023)- [c49]Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong:
Unsupervised Explanation Generation via Correct Instantiations. AAAI 2023: 12700-12708 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi:
Explanation Regeneration via Information Bottleneck. ACL (Findings) 2023: 12081-12102 - [c43]Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen:
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. ACL (1) 2023: 15948-15959 - [c42]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 - [c41]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 - [c40]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. ICLR 2023 - [c39]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 - [c38]Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong:
Efficient Attention via Control Variates. ICLR 2023 - [c37]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. ICML 2023: 39818-39833 - [c36]Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. ICML 2023: 41194-41218 - [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 - [i80]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) - [i79]Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong:
Efficient Attention via Control Variates. CoRR abs/2302.04542 (2023) - [i78]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) - [i77]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. CoRR abs/2302.05698 (2023) - [i76]Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong:
A Reparameterized Discrete Diffusion Model for Text Generation. CoRR abs/2302.05737 (2023) - [i75]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) - [i74]Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu:
A Challenging Benchmark for Low-Resource Learning. CoRR abs/2303.03840 (2023) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li:
Statistical Knowledge Assessment for Generative Language Models. CoRR abs/2305.10519 (2023) - [i67]Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong:
Optimizing Non-Autoregressive Transformers with Contrastive Learning. CoRR abs/2305.13667 (2023) - [i66]Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu:
Generating Data for Symbolic Language with Large Language Models. CoRR abs/2305.13917 (2023) - [i65]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) - [i64]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) - [i63]Xueliang Zhao, Wenda Li, Lingpeng Kong:
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving. CoRR abs/2305.16366 (2023) - [i62]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) - [i61]Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen:
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. CoRR abs/2306.06381 (2023) - [i60]Jiacheng Ye, Xijia Tao, Lingpeng Kong:
Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability. CoRR abs/2306.06688 (2023) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. CoRR abs/2310.09512 (2023) - [i51]Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong:
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. CoRR abs/2310.12960 (2023) - [i50]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) - [i49]Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong:
Self-Infilling Code Generation. CoRR abs/2311.17972 (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, Lingpeng Kong, Yuanyuan Chen, Kun Lang, Xiaodan Fan, Liangyun Zhang, Cong Pian:
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, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
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]