Yelong Shen

According to our database, Yelong Shen authored at least 81 papers between 2011 and 2024.

Collaborative distances:

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

2024

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.

Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

CoRR, 2024

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning.

Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen

CoRR, 2024

Multi-LoRA Composition for Image Generation.

Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

CoRR, 2024

2023

Competition-Level Problems are Effective LLM Evaluators.

Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen

CoRR, 2023

Language Models can be Logical Solvers.

Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen

CoRR, 2023

Adapting LLM Agents Through Communication.

Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen

CoRR, 2023

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen

CoRR, 2023

An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models.

Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen

CoRR, 2023

Efficient RLHF: Reducing the Memory Usage of PPO.

Michael Santacroce, Yadong Lu, Han Yu, Yuanzhi Li, Yelong Shen

CoRR, 2023

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions.

Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren

CoRR, 2023

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen

CoRR, 2023

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models.

Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan

CoRR, 2023

What Matters In The Structured Pruning of Generative Language Models?

Michael Santacroce, Zixin Wen, Yelong Shen, Yuanzhi Li

CoRR, 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

In-Context Learning Unlocked for Diffusion Models.

Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models.

Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen

Proceedings of the International Conference on Machine Learning, 2023

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise.

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen

Proceedings of the International Conference on Machine Learning, 2023

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy.

Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen

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

Joint Generator-Ranker Learning for Natural Language Generation.

Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen

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

2022

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model.

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan

CoRR, 2022

Generation-Augmented Query Expansion For Code Retrieval.

Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen

CoRR, 2022

GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation.

Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen

CoRR, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen

CoRR, 2022

Explanations from Large Language Models Make Small Reasoners Better.

Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan

CoRR, 2022

A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation.

Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan

CoRR, 2022

CodeRetriever: Unimodal and Bimodal Contrastive Learning.

Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan

CoRR, 2022

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation.

Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao

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

Adversarial Retriever-Ranker for Dense Text Retrieval.

Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

LoRA: Low-Rank Adaptation of Large Language Models.

Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search.

Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan

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

Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation.

Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan

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

Controllable Natural Language Generation with Contrastive Prefixes.

Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen

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

CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing.

Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao

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

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models.

Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren

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

Finding the Dominant Winning Ticket in Pre-Trained Language Models.

Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan

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

2021

LoRA: Low-Rank Adaptation of Large Language Models.

Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Weizhu Chen

CoRR, 2021

Poolingformer: Long Document Modeling with Pooling Attention.

Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen

Proceedings of the 38th International Conference on Machine Learning, 2021

Integrated Defense for Resilient Graph Matching.

Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou

Proceedings of the 38th International Conference on Machine Learning, 2021

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding.

Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han

Proceedings of the 9th International Conference on Learning Representations, 2021

Memory-Efficient Differentiable Transformer Architecture Search.

Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen

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

Reader-Guided Passage Reranking for Open-Domain Question Answering.

Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen

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

Generation-Augmented Retrieval for Open-Domain Question Answering.

Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen

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

UnitedQA: A Hybrid Approach for Open Domain Question Answering.

Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao

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

2020

Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model.

Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao

CoRR, 2020

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation.

Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen

CoRR, 2020

Adversarial Attacks on Deep Graph Matching.

Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

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

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning.

Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal

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

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension.

Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu

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

2019

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension.

Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

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

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning.

Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang

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

StoryGAN: A Sequential Conditional GAN for Story Visualization.

Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Hybrid Retrieval-Generation Neural Conversation Model.

Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Multi-Task Learning for Machine Reading Comprehension.

Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

CoRR, 2018

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search.

Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search.

Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao

Proceedings of the 6th International Conference on Learning Representations, 2018

FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension.

Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen

Proceedings of the 6th International Conference on Learning Representations, 2018

Language-Based Image Editing With Recurrent Attentive Models.

Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Stochastic Answer Networks for Machine Reading Comprehension.

Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies.

Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu

CoRR, 2017

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion.

Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

ReasoNet: Learning to Stop Reading in Machine Comprehension.

Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks.

Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Deep Context Modeling for Web Query Entity Disambiguation.

Zhen Liao, Xinying Song, Yelong Shen, Saekoo Lee, Jianfeng Gao, Ciya Liao

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval.

Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Dynamic socialized Gaussian process models for human behavior prediction in a health social network.

Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou

Knowl. Inf. Syst., 2016

Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory.

Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao

CoRR, 2016

2015

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval.

Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward

CoRR, 2015

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation.

Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng

CoRR, 2015

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture.

Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Deep Embedding Model for Co-occurrence Learning.

Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Semantic Modelling with Long-Short-Term Memory for Information Retrieval.

Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward

CoRR, 2014

Learning semantic representations using convolutional neural networks for web search.

Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil

Proceedings of the 23rd International World Wide Web Conference, 2014

A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval.

Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention

Ruoming Jin, Yelong Shen, Lin Liu, Xue-wen Chen

CoRR, 2013

2012

Learning personal + social latent factor model for social recommendation.

Yelong Shen, Ruoming Jin

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network.

Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Reliable Clustering on Uncertain Graphs.

Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Sparse hidden-dynamics conditional random fields for user intent understanding.

Yelong Shen, Jun Yan, Shuicheng Yan, Lei Ji, Ning Liu, Zheng Chen

Proceedings of the 20th International Conference on World Wide Web, 2011

Learning to rank audience for behavioral targeting in display ads.

Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011