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2020 – today
- 2025
[j3]Yelong Shen, Siyu Wu, Yanan Wu, Chao Cui, Haiou Li, Shuang Yang, Xuejun Liu, Xingzhi Chen, Chencui Huang, Ximing Wang:
Radiomics model building from multiparametric MRI to predict Ki-67 expression in patients with primary central nervous system lymphomas: a multicenter study. BMC Medical Imaging 25(1): 54 (2025)- [i74]Zhenghao Lin, Zihao Tang, Xiao Liu, Yeyun Gong, Yi Cheng, Qi Chen, Hang Li, Ying Xin, Ziyue Yang, Kailai Yang, Yu Yan, Xiao Liang, Shuai Lu, Yiming Huang, Zheheng Luo, Lei Qu, Xuan Feng, Yaoxiang Wang, Yuqing Xia, Feiyang Chen, Yuting Jiang, Yasen Hu, Hao Ni, Binyang Li, Guoshuai Zhao, Jui-Hao Chiang, Zhongxin Guo, Chen Lin, Kun Kuang, Wenjie Li, Yelong Shen, Jian Jiao, Peng Cheng, Mao Yang:
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. CoRR abs/2501.13629 (2025) - 2024
- [c59]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: 13526-13544 - [c58]Khiem Ton
, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen:
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CCS 2024: 5078-5080 - [c57]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. EMNLP (Findings) 2024: 13125-13137 - [c56]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 - [c55]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 - [c54]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: 1152-1197 - [c53]Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen:
Language Models can be Deductive Solvers. NAACL-HLT (Findings) 2024: 4026-4042 - [c52]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. NAACL-HLT (Findings) 2024: 4074-4101 - [c51]Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen:
Not All Tokens Are What You Need for Pretraining. NeurIPS 2024 - [i73]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 abs/2402.16843 (2024) - [i72]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 abs/2403.02333 (2024) - [i71]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 abs/2403.11838 (2024) - [i70]Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen:
Exploring the Mystery of Influential Data for Mathematical Reasoning. CoRR abs/2404.01067 (2024) - [i69]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 abs/2404.07965 (2024) - [i68]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 abs/2406.07522 (2024) - [i67]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 abs/2407.02119 (2024) - [i66]Yadong Lu, Jianwei Yang, Yelong Shen, Ahmed Awadallah:
OmniParser for Pure Vision Based GUI Agent. CoRR abs/2408.00203 (2024) - [i65]Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen:
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CoRR abs/2409.07368 (2024) - [i64]Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - [i63]Rongzhi Zhang, Kuang Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, Yelong Shen:
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy. CoRR abs/2410.03111 (2024) - [i62]Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Denvy Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong:
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning. CoRR abs/2410.09437 (2024) - [i61]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. CoRR abs/2410.10141 (2024) - [i60]Dilxat Muhtar, Yelong Shen, Yaming Yang, Xiaodong Liu, Yadong Lu, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Xueliang Zhang, Jianfeng Gao, Weizhu Chen, Qi Zhang:
StreamAdapter: Efficient Test Time Adaptation from Contextual Streams. CoRR abs/2411.09289 (2024) - [i59]Xuehai He, Shuohang Wang, Jianwei Yang, Xiaoxia Wu, Yiping Wang, Kuan Wang, Zheng Zhan, Olatunji Ruwase, Yelong Shen, Xin Eric Wang:
Mojito: Motion Trajectory and Intensity Control for Video Generation. CoRR abs/2412.08948 (2024) - [i58]Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen:
Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation. CoRR abs/2412.16211 (2024) - 2023
- [c50]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: 7681-7699 - [c49]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: 9248-9274 - [c48]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: 21051-21064 - [c47]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: 30706-30775 - [c46]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 - [c45]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 - [i57]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. CoRR abs/2302.00618 (2023) - [i56]Michael Santacroce, Zixin Wen, Yelong Shen, Yuanzhi Li:
What Matters In The Structured Pruning of Generative Language Models? CoRR abs/2302.03773 (2023) - [i55]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 abs/2304.11657 (2023) - [i54]Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou:
In-Context Learning Unlocked for Diffusion Models. CoRR abs/2305.01115 (2023) - [i53]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 abs/2305.09515 (2023) - [i52]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 abs/2305.11738 (2023) - [i51]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 abs/2305.14676 (2023) - [i50]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. CoRR abs/2305.15294 (2023) - [i49]Michael Santacroce, Yadong Lu, Han Yu, Yuanzhi Li, Yelong Shen:
Efficient RLHF: Reducing the Memory Usage of PPO. CoRR abs/2309.00754 (2023) - [i48]Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen:
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models. CoRR abs/2309.09958 (2023) - [i47]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 abs/2309.17452 (2023) - [i46]Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen:
Adapting LLM Agents Through Communication. CoRR abs/2310.01444 (2023) - [i45]Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen:
Language Models can be Logical Solvers. CoRR abs/2311.06158 (2023) - [i44]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 abs/2312.02143 (2023) - 2022
- [c44]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: 1459-1472 - [c43]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: 2763-2775 - [c42]Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen:
Controllable Natural Language Generation with Contrastive Prefixes. ACL (Findings) 2022: 2912-2924 - [c41]Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao:
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing. ACL (1) 2022: 7162-7175 - [c40]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: 118-129 - [c39]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: 548-559 - [c38]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: 2898-2910 - [c37]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 - [c36]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for Dense Text Retrieval. ICLR 2022 - [c35]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: 206-218 - [i43]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 abs/2201.10866 (2022) - [i42]Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen:
Controllable Natural Language Generation with Contrastive Prefixes. CoRR abs/2202.13257 (2022) - [i41]Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao:
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing. CoRR abs/2204.06625 (2022) - [i40]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 abs/2205.11162 (2022) - [i39]Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen:
Joint Generator-Ranker Learning for Natural Language Generation. CoRR abs/2206.13974 (2022) - [i38]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 abs/2210.06726 (2022) - [i37]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 abs/2210.09597 (2022) - [i36]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 abs/2210.11773 (2022) - [i35]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 abs/2211.10330 (2022) - [i34]Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen:
Generation-Augmented Query Expansion For Code Retrieval. CoRR abs/2212.10692 (2022) - [i33]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 abs/2212.11685 (2022) - 2021
- [c34]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: 344-350 - [c33]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: 3080-3090 - [c32]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: 4089-4100 - [c31]Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen:
Memory-Efficient Differentiable Transformer Architecture Search. ACL/IJCNLP (Findings) 2021: 4254-4264 - [c30]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 - [c29]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: 8982-8997 - [c28]Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen:
Poolingformer: Long Document Modeling with Pooling Attention. ICML 2021: 12437-12446 - [i32]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 abs/2101.00133 (2021) - [i31]Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. CoRR abs/2101.00178 (2021) - [i30]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR abs/2101.00294 (2021) - [i29]Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen:
Poolingformer: Long Document Modeling with Pooling Attention. CoRR abs/2105.04371 (2021) - [i28]Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen:
Memory-Efficient Differentiable Transformer Architecture Search. CoRR abs/2105.14669 (2021) - [i27]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 abs/2106.09685 (2021) - [i26]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for dense text retrieval. CoRR abs/2110.03611 (2021) - [i25]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 abs/2110.08484 (2021) - [i24]Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao:
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. CoRR abs/2112.07924 (2021) - 2020
- [c27]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: 2603-2614 - [c26]Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu:
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. ACL 2020: 6751-6761 - [c25]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: 86-111 - [c24]Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou:
Adversarial Attacks on Deep Graph Matching. NeurIPS 2020 - [i23]Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal:
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. CoRR abs/2005.05402 (2020) - [i22]Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu:
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. CoRR abs/2005.08056 (2020) - [i21]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR abs/2009.08553 (2020) - [i20]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 abs/2009.13818 (2020) - [i19]Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao:
Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model. CoRR abs/2010.06040 (2020) - [i18]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 abs/2010.08670 (2020)
2010 – 2019
- 2019
- [c23]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: 1341-1350 - [c22]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: 6329-6338 - [c21]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: 882-891 - [c20]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: 2644-2655 - [i17]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR abs/1904.01938 (2019) - [i16]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 abs/1904.09068 (2019) - 2018
- [c19]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. ACL (1) 2018: 1694-1704 - [c18]Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu:
Language-Based Image Editing With Recurrent Attentive Models. CVPR 2018: 8721-8729 - [c17]Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen:
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension. ICLR (Poster) 2018 - [c16]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 - [c15]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: 6787-6798 - [i15]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR abs/1802.04394 (2018) - [i14]Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao:
Multi-Task Learning for Machine Reading Comprehension. CoRR abs/1809.06963 (2018) - [i13]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 abs/1812.02784 (2018) - 2017
- [c14]Zhen Liao, Xinying Song, Yelong Shen, Saekoo Lee, Jianfeng Gao, Ciya Liao:
Deep Context Modeling for Web Query Entity Disambiguation. CIKM 2017: 1757-1765 - [c13]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. IJCNLP(1) 2017: 957-966 - [c12]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. KDD 2017: 1047-1055 - [c11]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: 57-68 - [i12]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. CoRR abs/1711.03230 (2017) - [i11]Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu:
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. CoRR abs/1711.04964 (2017) - [i10]Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu:
Language-Based Image Editing with Recurrent Attentive Models. CoRR abs/1711.06288 (2017) - [i9]Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen:
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension. CoRR abs/1711.07341 (2017) - [i8]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. CoRR abs/1712.03556 (2017) - 2016
- [j2]Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou:
Dynamic socialized Gaussian process models for human behavior prediction in a health social network. Knowl. Inf. Syst. 49(2): 455-479 (2016) - [j1]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - [c10]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoCo@NIPS 2016 - [i7]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoRR abs/1609.05284 (2016) - [i6]Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao:
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR abs/1611.04642 (2016) - 2015
- [c9]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops 2015: 631-638 - [c8]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. NIPS 2015: 1765-1773 - [i5]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i4]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. CoRR abs/1504.02824 (2015) - [i3]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR abs/1508.03398 (2015) - 2014
- [c7]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. CIKM 2014: 101-110 - [c6]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
Learning semantic representations using convolutional neural networks for web search. WWW (Companion Volume) 2014: 373-374 - [i2]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR abs/1412.6629 (2014) - 2013
- [i1]Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen:
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CoRR abs/1305.0513 (2013) - 2012
- [c5]Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen:
Reliable Clustering on Uncertain Graphs. ICDM 2012: 459-468 - [c4]Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil:
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. ICDM 2012: 1110-1115 - [c3]Yelong Shen, Ruoming Jin:
Learning personal + social latent factor model for social recommendation. KDD 2012: 1303-1311 - 2011
- [c2]Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang:
Learning to rank audience for behavioral targeting in display ads. CIKM 2011: 605-610 - [c1]Yelong Shen, Jun Yan, Shuicheng Yan, Lei Ji, Ning Liu, Zheng Chen:
Sparse hidden-dynamics conditional random fields for user intent understanding. WWW 2011: 7-16
Coauthor Index
[c59] [c56] [c55] [c53] [c51] [i73] [i72] [i70] [i69] [i68] [i64] [i62] [i60] [c50] [c49] [c48] [c47] [c46] [c45] [i57] [i54] [i53] [i52] [i51] [i50] [i47] [i45] [i44] [c44] [c43] [c42] [c41] [c40] [c38] [c37] [c36] [i43] [i42] [i41] [i40] [i39] [i37] [i36] [i35] [i34] [i33] [c34] [c33] [c32] [c31] [c30] [c28] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [c25] [i21] [i20] [i19] [i18] [c17] [c12] [i9] [c10] [i7]
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