Peng Li

According to our database, Peng Li authored at least 103 papers between 2009 and 2024.

Collaborative distances:

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

2024

Gradual Syntactic Label Replacement for Language Model Pre-Training.

Yile Wang, Yue Zhang, Peng Li, Yang Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2024

CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models.

Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu

CoRR, 2024

Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion.

Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu

CoRR, 2024

Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models.

Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu

CoRR, 2024

2023

AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation.

Qinhong Zhou, Peng Li, Yang Liu, Yuyang Guan, Qizhou Xing, Ming Chen, Maosong Sun, Yang Liu

AI Open, January, 2023

Restricted orthogonal gradient projection for continual learning.

Zeyuan Yang, Zonghan Yang, Yichen Liu, Peng Li, Yang Liu

AI Open, January, 2023

Can Vision-Language Models Think from a First-Person Perspective?

Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu

CoRR, 2023

Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models.

Chi Chen, Ruoyu Qin, Fuwen Luo, Xiaoyue Mi, Peng Li, Maosong Sun, Yang Liu

CoRR, 2023

Pluggable Neural Machine Translation Models via Memory-augmented Adapters.

Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu

CoRR, 2023

Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics.

Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

CoRR, 2023

Black-box Prompt Tuning with Subspace Learning.

Yuanhang Zheng, Zhixing Tan, Peng Li, Yang Liu

CoRR, 2023

Restricted Orthogonal Gradient Projection for Continual Learning.

Zeyuan Yang, Zonghan Yang, Peng Li, Yang Liu

CoRR, 2023

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning.

Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2023

Learning to Relate to Previous Turns in Conversational Search.

Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics.

Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.

Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Knowledge Guided Retrieval Augmentation for Large Language Models.

Yile Wang, Peng Li, Maosong Sun, Yang Liu

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

Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models.

Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu

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

Plug-and-Play Knowledge Injection for Pre-trained Language Models.

Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

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

Continual Knowledge Distillation for Neural Machine Translation.

Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu

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

Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation.

Kaiyu Huang, Peng Li, Jin Ma, Ting Yao, Yang Liu

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

An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation.

Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, Yang Liu

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

Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks.

Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu

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

Weakly Supervised Vision-and-Language Pre-training with Relative Representations.

Chi Chen, Peng Li, Maosong Sun, Yang Liu

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

2022

Prompt Gating: A Parameter Efficient Tuning Method for Zero-Shot Multi-Source Translation.

Xuancheng Huang, Zijun Liu, Peng Li, Maosong Sun, Yang Liu

CoRR, 2022

Continually Learning from Existing Models: Knowledge Accumulation for Neural Machine Translation.

Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu

CoRR, 2022

Manual-Guided Dialogue for Flexible Conversational Agents.

Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang

CoRR, 2022

On Transferability of Prompt Tuning for Natural Language Processing.

Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou

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

Knowledge Inheritance for Pre-trained Language Models.

Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

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

Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Template-based Method for Constrained Neural Machine Translation.

Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu

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

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.

Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou

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

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

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

ROSE: Robust Selective Fine-tuning for Pre-trained Language Models.

Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang

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

Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation.

Kaiyu Huang, Peng Li, Jin Ma, Yang Liu

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

End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching.

Chi Chen, Peng Li, Maosong Sun, Yang Liu

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

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts.

Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

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

Packed Levitated Marker for Entity and Relation Extraction.

Deming Ye, Yankai Lin, Peng Li, Maosong Sun

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

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models.

Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

ELLE: Efficient Lifelong Pre-training for Emerging Data.

Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

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

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach.

Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou

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

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation.

Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang

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

Fully Hyperbolic Neural Networks.

Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

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

2021

CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models.

YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2021

MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection.

Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou

Neurocomputing, 2021

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2021

On Transferability of Prompt Tuning for Natural Language Understanding.

YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou

CoRR, 2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.

Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou

CoRR, 2021

MoEfication: Conditional Computation of Transformer Models for Efficient Inference.

Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

CoRR, 2021

CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models.

YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun

CoRR, 2021

CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models.

Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun

AI Open, 2021

WeChat Neural Machine Translation Systems for WMT21.

Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou

Proceedings of the Sixth Conference on Machine Translation, 2021

Topology-Imbalance Learning for Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition.

Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild.

Yuan Yao, Jiaju Du, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dynamic Knowledge Distillation for Pre-trained Language Models.

Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade.

Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs.

Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Rethinking Stealthiness of Backdoor Attack against NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

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

CLEVE: Contrastive Pre-training for Event Extraction.

Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou

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

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.

Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou

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

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction.

Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation.

Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Unsupervised Knowledge Selection for Dialogue Generation.

Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog.

Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information.

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework.

Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Accelerating Pre-trained Language Models via Calibrated Cascade.

Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

CoRR, 2020

Distance-wise Graph Contrastive Learning.

Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

CoRR, 2020

MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection.

Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou

CoRR, 2020

Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models.

YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun

CoRR, 2020

WeChat Neural Machine Translation Systems for WMT20.

Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou

Proceedings of the Fifth Conference on Machine Translation, 2020

Neural Gibbs Sampling for Joint Event Argument Extraction.

Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie Zhou

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.

Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Coreferential Reasoning Learning for Language Representation.

Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MAVEN: A Massive General Domain Event Detection Dataset.

Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning from Context or Names? An Empirical Study on Neural Relation Extraction.

Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Disentangle-based Continual Graph Representation Learning.

Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation.

Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation.

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Continual Relation Learning via Episodic Memory Activation and Reconsolidation.

Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog.

Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View.

Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks.

Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun

CoRR, 2019

Option Comparison Network for Multiple-choice Reading Comprehension.

Qiu Ran, Peng Li, Weiwei Hu, Jie Zhou

CoRR, 2019

Adversarial Training for Weakly Supervised Event Detection.

Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer.

Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

HMEAE: Hierarchical Modular Event Argument Extraction.

Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

NumNet: Machine Reading Comprehension with Numerical Reasoning.

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification.

Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation.

Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Fine-grained Text Sentiment Transfer.

Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention.

Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation.

Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu

Trans. Assoc. Comput. Linguistics, 2016

2014

A Neural Reordering Model for Phrase-based Translation.

Peng Li, Yang Liu, Maosong Sun, Tatsuya Izuha, Dakun Zhang

Proceedings of the COLING 2014, 2014

2013

Recursive Autoencoders for ITG-Based Translation.

Peng Li, Yang Liu, Maosong Sun

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

An Extended GHKM Algorithm for Inducing Lambda-SCFG.

Peng Li, Yang Liu, Maosong Sun

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

A Beam Search Algorithm for ITG Word Alignment.

Peng Li, Yang Liu, Maosong Sun

Proceedings of the COLING 2012, 2012

2010

Fast-Champollion: A Fast and Robust Sentence Alignment Algorithm.

Peng Li, Maosong Sun, Ping Xue

Proceedings of the COLING 2010, 2010

2009

Content-based and Graph-based Tag Suggestion.

Xiance Si, Zhiyuan Liu, Peng Li, Qixia Jiang, Maosong Sun

Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Clustering to Find Exemplar Terms for Keyphrase Extraction.

Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009