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Yelong Shen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

57

Venues

13

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

57 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLGold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions.Boyan Duan, Xiao Liang, Shuai Lu, Yaoxiang Wang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Mao Yang, Weizhu Chen, Yeyun Gong
2026ACLTraining LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability.Xiao Liang, Zhong-Zhi Li, Zhenghao Lin, Eric Hanchen Jiang, Hengyuan Zhang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Yeyun Gong, Weizhu Chen
2025AAAIMTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong
2025AAAIKey-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning.Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen
2025CVPRIs Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation.Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025ICLRSamba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen
2025NAACLAdapting LLM Agents with Universal Communication Feedback.Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen
2024ACLCompetition-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
2024CCSDemo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code.Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen
2024EMNLPTemperature-Centric Investigation of Speculative Decoding with Knowledge Distillation.Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen
2024ICLRCRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
2024ICLRToRA: 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
2024NAACLLanguage Models can be Deductive Solvers.Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen
2024NAACLEnsuring 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
2024NAACLEnhancing 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
2023ACLJoint Generator-Ranker Learning for Natural Language Generation.Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen
2023EMNLPEnhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy.Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
2023ICMLText 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
2023ICMLSynthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models.Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
2022ACLFinding 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
2022ACLA 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
2022ACLCAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing.Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao
2022ACLControllable Natural Language Generation with Contrastive Prefixes.Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen
2022EMNLPSoft-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
2022EMNLPCodeRetriever: 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
2022EMNLPSimANS: 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
2022ICLRLoRA: 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
2022ICLRAdversarial Retriever-Ranker for Dense Text Retrieval.Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen
2022NAACLKnowledge-Grounded Dialogue Generation with a Unified Knowledge Representation.Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao
2021ACLUnitedQA: A Hybrid Approach for Open Domain Question Answering.Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2021ACLGeneration-Augmented Retrieval for Open-Domain Question Answering.Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021ACLReader-Guided Passage Reranking for Open-Domain Question Answering.Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021ACLMemory-Efficient Differentiable Transformer Architecture Search.Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen
2021ICLRCoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding.Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han
2021ICMLIntegrated 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
2021ICMLPoolingformer: Long Document Modeling with Pooling Attention.Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen
2020ACLRecurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension.Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
2020ACLMART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning.Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal
2019CIKMA 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
2019CVPRStoryGAN: 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
2019NAACLUnsupervised Deep Structured Semantic Models for Commonsense Reasoning.Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
2019NAACLMulti-task Learning with Sample Re-weighting for Machine Reading Comprehension.Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
2018ACLStochastic Answer Networks for Machine Reading Comprehension.Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao
2018CVPRLanguage-Based Image Editing With Recurrent Attentive Models.Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu
2018ICLRFusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension.Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
2018ICLRReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search.Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
2017CIKMDeep Context Modeling for Web Query Entity Disambiguation.Zhen Liao, Xinying Song, Yelong Shen, Saekoo Lee, Jianfeng Gao, Ciya Liao
2017IJCNLPAn Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks.Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao
2017KDDReasoNet: Learning to Stop Reading in Machine Comprehension.Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
2015ICDMA Deep Embedding Model for Co-occurrence Learning.Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
2014CIKMA Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval.Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grgoire Mesnil
2014WWWLearning semantic representations using convolutional neural networks for web search.Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grgoire Mesnil
2012ICDMReliable Clustering on Uncertain Graphs.Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen
2012ICDMSocialized 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
2012KDDLearning personal + social latent factor model for social recommendation.Yelong Shen, Ruoming Jin
2011CIKMLearning 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
2011WWWSparse hidden-dynamics conditional random fields for user intent understanding.Yelong Shen, Jun Yan, Shuicheng Yan, Lei Ji, Ning Liu, Zheng Chen