Gong, Yeyun

32 publications

ICLR 2025 Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei

ICLR 2025 Automated Proof Generation for Rust Code via Self-Evolution Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K Lahiri, Tao Xie, Lidong Zhou

AAAI 2025 Enhancing Large Language Model Performance with Gradient-Based Parameter Selection Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Qi Chen, Peng Cheng

ICLR 2025 Integrative Decoding: Improving Factuality via Implicit Self-Consistency Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong

AAAI 2025 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

ICML 2025 Optimizing Large Language Model Training Using FP4 Quantization Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zheng-Jun Zha, Peng Cheng

ICML 2025 Overcoming Vocabulary Mismatch: Vocabulary-Agnostic Teacher Guided Language Modeling Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong

NeurIPS 2025 PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning Yizhen Zhang, Yang Ding, Shuoshuo Zhang, Xinchen Zhang, Haoling Li, Zhong-Zhi Li, Peijie Wang, Jie Wu, Lei Ji, Yeyun Gong, Yelong Shen, Yujiu Yang

NeurIPS 2025 Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection Zheng Zhan, Liliang Ren, Shuohang Wang, Liyuan Liu, Yang Liu, Yeyun Gong, Yanzhi Wang, Yelong Shen

NeurIPS 2025 SwS: Self-Aware Weakness-Driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Xiao Liang, Zhong-Zhi Li, Yeyun Gong, Yang Wang, Hengyuan Zhang, Yelong Shen, Ying Nian Wu, Weizhu Chen

ICMLW 2024 Adapting LLM Agents with Universal Feedback in Communication Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen

ICLR 2024 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

NeurIPS 2024 Not All Tokens Are What You Need for Pretraining Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen

ICLR 2024 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel Ni, Heung-Yeung Shum, Jian Guo

ICLR 2024 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

NeurIPSW 2024 What You See Is What You Get: Entity-Aware Summarization for Reliable Sponsored Search Xiao Liang, Xinyu Hu, Simiao Zuo, Jimi He, Yu Wang, Victor Ye Dong, Yeyun Gong, Kushal S. Dave, Yi Liu, Qiang Lou, Shao-Lun Huang, Jian Jiao

NeurIPS 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

NeurIPSW 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

ECML-PKDD 2023 MASTER: Multi-Task Pre-Trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen

NeurIPS 2023 On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong

ICML 2023 Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen

ICML 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

ICLR 2022 Adversarial Retriever-Ranker for Dense Text Retrieval Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen

ICML 2021 BANG: Bridging Autoregressive and Non-Autoregressive Generation with Large Scale Pretraining Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

ICML 2021 EL-Attention: Memory Efficient Lossless Attention for Generation Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang

ICML 2021 Poolingformer: Long Document Modeling with Pooling Attention Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen

AAAI 2020 Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing Bo Shao, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, Xiaola Lin

IJCAI 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang

AAAI 2020 Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang

IJCAI 2019 Weakly Supervised Multi-Task Learning for Semantic Parsing Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan

IJCAI 2017 Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong

AAAI 2015 Retweet Behavior Prediction Using Hierarchical Dirichlet Process Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang