Yelong Shen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 111

Top Venues

CoRR

ICLR

ACL (Findings)

NeurIPS

Publications

Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen
Multi-LoRA Composition for Image Generation. CoRR (2024)
Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling. CoRR (2024)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. ICLR (2024)
Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning. CoRR (2024)
Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. CoRR (2024)
Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. NAACL-HLT (2024)
Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR (2024)
Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
Exploring the Mystery of Influential Data for Mathematical Reasoning. CoRR (2024)
Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen
Competition-Level Problems are Effective LLM Evaluators. ACL (Findings) (2024)
Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
Rho-1: Not All Tokens Are What You Need. CoRR (2024)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. ICLR (2024)
Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. NeurIPS (2023)
Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. CoRR (2023)
Michael Santacroce, Yadong Lu, Han Yu, Yuanzhi Li, Yelong Shen
Efficient RLHF: Reducing the Memory Usage of PPO. CoRR (2023)
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou
In-Context Learning Unlocked for Diffusion Models. NeurIPS (2023)
Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise. ICML (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. ICML (2023)
Michael Santacroce, Zixin Wen, Yelong Shen, Yuanzhi Li
What Matters In The Structured Pruning of Generative Language Models? CoRR (2023)
Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. CoRR (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. EMNLP (Findings) (2023)
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
In-Context Learning Unlocked for Diffusion Models. CoRR (2023)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. CoRR (2023)
Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen
Language Models can be Logical Solvers. CoRR (2023)
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. CoRR (2023)
Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen
Competition-Level Problems are Effective LLM Evaluators. CoRR (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. CoRR (2023)
Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models. CoRR (2023)
Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen
Adapting LLM Agents Through Communication. CoRR (2023)
Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen
Joint Generator-Ranker Learning for Natural Language Generation. ACL (Findings) (2023)
Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. CoRR (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. CoRR (2023)
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models. ACL (1) (2022)
Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen
Adversarial Retriever-Ranker for Dense Text Retrieval. ICLR (2022)
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
LoRA: Low-Rank Adaptation of Large Language Models. ICLR (2022)
Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan
CodeRetriever: Unimodal and Bimodal Contrastive Learning. CoRR (2022)
Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. EMNLP (2022)
Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation. CoRR (2022)
Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen
Generation-Augmented Query Expansion For Code Retrieval. CoRR (2022)
Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen
Controllable Natural Language Generation with Contrastive Prefixes. ACL (Findings) (2022)
Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. EMNLP (Findings) (2022)
Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan
Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) (2022)
Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan
Explanations from Large Language Models Make Small Reasoners Better. CoRR (2022)
Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen
Joint Generator-Ranker Learning for Natural Language Generation. CoRR (2022)
Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. EMNLP (Industry Track) (2022)
Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing. CoRR (2022)
Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. CoRR (2022)
Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan
Soft-Labeled Contrastive Pre-training for Function-level Code Representation. CoRR (2022)
Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. NAACL-HLT (2022)
Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation. CoRR (2022)
Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen
Controllable Natural Language Generation with Contrastive Prefixes. CoRR (2022)
Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing. ACL (1) (2022)
Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. CoRR (2022)
Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen
Adversarial Retriever-Ranker for dense text retrieval. CoRR (2021)
Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou
Integrated Defense for Resilient Graph Matching. ICML (2021)
Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen
Memory-Efficient Differentiable Transformer Architecture Search. ACL/IJCNLP (Findings) (2021)
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) (2021)
Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. CoRR (2021)
Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
UnitedQA: A Hybrid Approach for Open Domain Question Answering. ACL/IJCNLP (1) (2021)
Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen
Poolingformer: Long Document Modeling with Pooling Attention. ICML (2021)
Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
UnitedQA: A Hybrid Approach for Open Domain Question Answering. CoRR (2021)
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR (2021)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) (2021)
Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen
Poolingformer: Long Document Modeling with Pooling Attention. CoRR (2021)
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. ICLR (2021)
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models. CoRR (2021)
Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen
Memory-Efficient Differentiable Transformer Architecture Search. CoRR (2021)
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Weizhu Chen
LoRA: Low-Rank Adaptation of Large Language Models. CoRR (2021)
Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao
Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model. CoRR (2020)
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR (2020)
Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation. CoRR (2020)
Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. CoRR (2020)
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. CoRR (2020)
Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. ACL (2020)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. CoRR (2020)
Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou
Adversarial Attacks on Deep Graph Matching. NeurIPS (2020)
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. ACL (2020)
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR (2019)
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR (2019)
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) (2019)
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
A Hybrid Retrieval-Generation Neural Conversation Model. CIKM (2019)
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
A Hybrid Retrieval-Generation Neural Conversation Model. CoRR (2019)
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. NAACL-HLT (1) (2019)
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
StoryGAN: A Sequential Conditional GAN for Story Visualization. CoRR (2018)
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension. ICLR (Poster) (2018)
Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu
Language-Based Image Editing With Recurrent Attentive Models. CVPR (2018)
Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao
Stochastic Answer Networks for Machine Reading Comprehension. ACL (1) (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. ICLR (Workshop) (2018)
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
Multi-Task Learning for Machine Reading Comprehension. CoRR (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NeurIPS (2018)
Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. Rep4NLP@ACL (2017)
Zhen Liao, Xinying Song, Yelong Shen, Saekoo Lee, Jianfeng Gao, Ciya Liao
Deep Context Modeling for Web Query Entity Disambiguation. CIKM (2017)
Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. CoRR (2017)
Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. IJCNLP(1) (2017)
Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
ReasoNet: Learning to Stop Reading in Machine Comprehension. KDD (2017)
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension. CoRR (2017)
Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. CoRR (2017)
Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao
Stochastic Answer Networks for Machine Reading Comprehension. CoRR (2017)

Yelong Shen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yelong Shen