Classical Mongolian Words Recognition in Historical Document. - Guanglai Gao; Xiangdong Su; Hongxi Wei; Yeyun Gong (ICDAR, 2011)

Map search via a factor graph model. - Qi Zhang 001; Jihua Kang; Yeyun Gong; Huan Chen; Yaqian Zhou 001; Xuanjing Huang 001 (CIKM, 2013)

Detecting Spammers in Community Question Answering. - Zhuoye Ding; Yeyun Gong; Yaqian Zhou 001; Qi Zhang 001; Xuanjing Huang 001 (IJCNLP, 2013)

A Generative Model for Identifying Target Companies of Microblogs. - Yeyun Gong; Yaqian Zhou 001; Ya Guo; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2014)

Time-aware Personalized Hashtag Recommendation on Social Media. - Qi Zhang 001; Yeyun Gong; Xuyang Sun; Xuanjing Huang 001 (COLING, 2014)

Retweet Behavior Prediction Using Hierarchical Dirichlet Process. - Qi Zhang 001; Yeyun Gong; Ya Guo; Xuanjing Huang 001 (AAAI, 2015)

Who Will You "@"? - Yeyun Gong; Qi Zhang 001; Xuyang Sun; Xuanjing Huang 001 (CIKM, 2015)

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags. - Yeyun Gong; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2015)

Retweet Prediction with Attention-based Deep Neural Network. - Qi Zhang 001; Yeyun Gong; Jindou Wu; Haoran Huang; Xuanjing Huang 001 (CIKM, 2016)

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention. - Haoran Huang; Qi Zhang 001; Yeyun Gong; Xuanjing Huang 001 (COLING, 2016)

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter. - Qi Zhang 001; Yang Wang; Yeyun Gong; Xuanjing Huang 001 (EMNLP, 2016)

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network. - Qi Zhang 001; Jiawen Wang; Haoran Huang; Xuanjing Huang 001; Yeyun Gong (IJCAI, 2017)

Hierarchical Dirichlet Processes with Social Influence. - Jin Qian; Yeyun Gong; Qi Zhang 001; Xuanjing Huang 001 (NLPCC, 2017)

Phrase-based hashtag recommendation for microblog posts. - Yeyun Gong; Qi Zhang 001; Xiaoying Han; Xuanjing Huang 001 (Sci. China Inf. Sci., 2017)

Hashtag recommendation for multimodal microblog posts. - Yeyun Gong; Qi Zhang 001; Xuanjing Huang 001 (Neurocomputing, 2018)

Question Generation With Doubly Adversarial Nets. - Junwei Bao 001; Yeyun Gong; Nan Duan; Ming Zhou 001; Tiejun Zhao (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Joint Type Inference on Entities and Relations via Graph Convolutional Networks. - Changzhi Sun; Yeyun Gong; Yuanbin Wu; Ming Gong 001; Daxin Jiang; Man Lan; Shiliang Sun; Nan Duan (ACL (1), 2019)

Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching. - Bo Shao; Yeyun Gong; Weizhen Qi; Nan Duan; Xiaola Lin (EMNLP/IJCNLP (1), 2019)

Weakly Supervised Multi-task Learning for Semantic Parsing. - Bo Shao; Yeyun Gong; Junwei Bao 001; Jianshu Ji; Guihong Cao; Xiaola Lin; Nan Duan (IJCAI, 2019)

Pretraining-Based Natural Language Generation for Text Summarization. - Haoyu Zhang; Yeyun Gong; Yu Yan; Nan Duan; Jianjun Xu; Ji Wang 001; Ming Gong 001; Ming Zhou 001 (CoRR, 2019)

Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing. - Bo Shao; Yeyun Gong; Weizhen Qi; Guihong Cao; Jianshu Ji; Xiaola Lin (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 001; Daxin Jiang (AAAI, 2020)

RikiNet: Reading Wikipedia Pages for Natural Question Answering. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Yu Yan; Jiusheng Chen; Daxin Jiang; Jiancheng Lv 001; Nan Duan (ACL, 2020)

An Enhanced Knowledge Injection Model for Commonsense Generation. - Zhihao Fan; Yeyun Gong; Zhongyu Wei; Siyuan Wang; Yameng Huang; Jian Jiao 007; Xuanjing Huang 001; Nan Duan; Ruofei Zhang (COLING, 2020)

Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing. - Bo Shao; Yeyun Gong; Weizhen Qi; Nan Duan; Xiaola Lin (COLING, 2020)

Uncertainty-Aware Label Refinement for Sequence Labeling. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Zhengyan Li; Zichu Fei; Yeyun Gong; Xuanjing Huang 001 (EMNLP (1), 2020)

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Ruofei Zhang; et al. (EMNLP (1), 2020)

Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Yu Yan; Jiusheng Chen; Jiancheng Lv 001; Nan Duan; Ming Zhou 001 (EMNLP (1), 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Yu Yan; Jie Fu 001; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (EMNLP (1), 2020)

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. - Weizhen Qi; Yu Yan; Yeyun Gong; Dayiheng Liu; Nan Duan; Jiusheng Chen; Ruofei Zhang; Ming Zhou 001 (EMNLP (Findings), 2020)

Leveraging Document-Level Label Consistency for Named Entity Recognition. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Yaqian Zhou 001; Yeyun Gong; Xuanjing Huang 001 (IJCAI, 2020)

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. - Weizhen Qi; Yeyun Gong; Yu Yan; Jian Jiao 007; Bo Shao; Ruofei Zhang; Houqiang Li; Nan Duan; Ming Zhou 001 (NLPCC (2), 2020)

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Bruce Zhang; et al. (CoRR, 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Wei Liu; Yu Yan; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (CoRR, 2020)

GLGE: A New General Language Generation Evaluation Benchmark. - Dayiheng Liu; Yu Yan; Yeyun Gong; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Weizhu Chen; Jie Fu 001; Linjun Shou; Ming Gong 001; Pengcheng Wang; Jiusheng Chen; et al. (ACL/IJCNLP (Findings), 2021)

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. - Weizhen Qi; Yeyun Gong; Yu Yan; Can Xu; Bolun Yao; Bartuer Zhou; Biao Cheng; Daxin Jiang; Jiusheng Chen; Ruofei Zhang; Houqiang Li; Nan Duan (ACL (demo), 2021)

FastSeq: Make Sequence Generation Faster. - Yu Yan; Fei Hu; Jiusheng Chen; Nikhil Bhendawade; Ting Ye; Yeyun Gong; Nan Duan; Desheng Cui; Bingyu Chi; Ruofei Zhang (ACL (demo), 2021)

KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. - Haonan Li 002; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (EMNLP (Findings), 2021)

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. - Weizhen Qi; Yeyun Gong; Jian Jiao 007; Yu Yan; Weizhu Chen; Dayiheng Liu; Kewen Tang; Houqiang Li; Jiusheng Chen; Ruofei Zhang; Ming Zhou 001; 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 029; Yeyun Gong; Yelong Shen; Weisheng Li 001; Jiancheng Lv 001; Nan Duan; Weizhu Chen (ICML, 2021)

Mask Attention Networks: Rethinking and Strengthen Transformer. - Zhihao Fan; Yeyun Gong; Dayiheng Liu; Zhongyu Wei; Siyuan Wang; Jian Jiao 007; Nan Duan; Ruofei Zhang; Xuanjing Huang 001 (NAACL-HLT, 2021)

Question Generation from Code Snippets and Programming Error Messages. - Bolun Yao; Wei Chen 088; Yeyun Gong; Bartuer Zhou; Jin Xie; Zhongyu Wei; Biao Cheng; Nan Duan (NLPCC (1), 2021)

FastSeq: Make Sequence Generation Faster. - Yu Yan; Fei Hu; Jiusheng Chen; Nikhil Bhendawade; Ting Ye; Yeyun Gong; Nan Duan; Desheng Cui; Bingyu Chi; Ruifei Zhang (CoRR, 2021)

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. - Haonan Li 002; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (CoRR, 2021)

DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation. - Wei Chen 088; Yeyun Gong; Song Wang 012; Bolun Yao; Weizhen Qi; Zhongyu Wei; Xiaowu Hu; Bartuer Zhou; Yi Mao; Weizhu Chen; Biao Cheng; Nan Duan (ACL (1), 2022)

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. - Wei Chen 088; Yeyun Gong; Can Xu; Huang Hu; Bolun Yao; Zhongyu Wei; Zhihao Fan; Xiaowu Hu; Bartuer Zhou; Biao Cheng; Daxin Jiang; Nan Duan (ACL (1), 2022)

P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. - Junwei Bao 001; Yifan Wang 016; Ying Jiangyong; Yeyun Gong; Jing Zhao; Youzheng Wu; Xiaodong He 001 (EMNLP (Findings), 2022)

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. - Xingwei He 003; Yeyun Gong; A-Long Jin; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Bartuer Zhou; Biao Cheng; Siu-Ming Yiu; Nan Duan (EMNLP, 2022)

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. - Shuai Fan 007; Chen Lin 001; Haonan Li 002; Zhenghao Lin; Jinsong Su; Hang Zhang 029; Yeyun Gong; Jian Guo; Nan Duan (EMNLP, 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 (EMNLP (Findings), 2022)

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. - Xiaonan Li; Yeyun Gong; Yelong Shen; Xipeng Qiu; Hang Zhang 029; Bolun Yao; Weizhen Qi; Daxin Jiang; Weizhu Chen; Nan Duan (EMNLP, 2022)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan (EMNLP (Industry Track), 2022)

Adversarial Retriever-Ranker for Dense Text Retrieval. - Hang Zhang 029; Yeyun Gong; Yelong Shen; Jiancheng Lv 001; Nan Duan; Weizhu Chen (ICLR, 2022)

CULG: Commercial Universal Language Generation. - Haonan Li 002; Yameng Huang; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (NAACL-HLT (Industry Papers), 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Xing Xie 001 (SIGIR, 2022)

CodeRetriever: Unimodal and Bimodal Contrastive Learning. - Xiaonan Li; Yeyun Gong; Yelong Shen; Xipeng Qiu; Hang Zhang 029; Bolun Yao; Weizhen Qi; Daxin Jiang; Weizhu Chen; Nan Duan (CoRR, 2022)

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Defu Lian; Yeyun Gong; Qi Chen 009; Fan Yang 024; Hao Sun 015; Yingxia Shao; Denvy Deng; Qi Zhang 001; et al. (CoRR, 2022)

A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation. - Weizhen Qi; Yeyun Gong; Yelong Shen; Jian Jiao 007; Yu Yan; Houqiang Li; Ruofei Zhang; Weizhu Chen; Nan Duan (CoRR, 2022)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan; Weizhu Chen (CoRR, 2022)

P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. - Junwei Bao 001; Yifan Wang 016; Jiangyong Ying; Yeyun Gong; Jing Zhao; Youzheng Wu; Xiaodong He 001 (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)

LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jian Jiao 007; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2022)

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Jiashuo Sun; Hang Zhang 029; Chen Lin 001; Yeyun Gong; Jian Guo; Nan Duan (CoRR, 2022)

Curriculum Sampling for Dense Retrieval with Document Expansion. - Xingwei He 003; Yeyun Gong; A-Long Jin; Hang Zhang 029; Anlei Dong; Jian Jiao 007; Siu-Ming Yiu; Nan Duan (CoRR, 2022)

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. - Zhenghao Lin; Yeyun Gong; Yelong Shen; Tong Wu; Zhihao Fan; Chen Lin 001; Weizhu Chen; Nan Duan (CoRR, 2022)

Joint Generator-Ranker Learning for Natural Language Generation. - Weizhou Shen; Yeyun Gong; Yelong Shen; Song Wang 012; Xiaojun Quan; Nan Duan; Weizhu Chen (ACL (Findings), 2023)

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. - Xingwei He 003; Yeyun Gong; A-Long Jin; Hang Zhang 029; Anlei Dong; Jian Jiao 007; Siu-Ming Yiu; Nan Duan (EMNLP, 2023)

Allies: Prompting Large Language Model with Beam Search. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Yan Zhang 117; Daxin Jiang; Linjun Yang; Nan Duan (EMNLP (Findings), 2023)

Noisy Pair Corrector for Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Xingwei He 003; Dayiheng Liu; Daya Guo; Jiancheng Lv 001; Jian Guo (EMNLP (Findings), 2023)

Query Rewriting in Retrieval-Augmented Large Language Models. - Xinbei Ma; Yeyun Gong; Pengcheng He; Hai Zhao 001; Nan Duan (EMNLP, 2023)

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. - Zhihong Shao; Yeyun Gong; Yelong Shen; Minlie Huang; Nan Duan; Weizhu Chen (EMNLP (Findings), 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 001; Nan Duan; Weizhu Chen (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)

On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models. - Yufan Cai; Yun Lin 001; Chenyan Liu; Jinglian Wu; Yifan Zhang; Yiming Liu; Yeyun Gong; Jin Song Dong 001 (NeurIPS, 2023)

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. - Tong Wu; Zhihao Fan; Xiao Liu 029; Hai-Tao Zheng 002; Yeyun Gong; Yelong Shen; Jian Jiao 007; Juntao Li; Zhongyu Wei; Jian Guo; Nan Duan; Weizhu Chen (NeurIPS, 2023)

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. - Kun Zhou 002; Xiao Liu 029; Yeyun Gong; Wayne Xin Zhao; Daxin Jiang; Nan Duan; Ji-Rong Wen (ECML/PKDD (2), 2023)

PROD: Progressive Distillation for Dense Retrieval. - Zhenghao Lin; Yeyun Gong; Xiao Liu 029; Hang Zhang 029; Chen Lin 001; Anlei Dong; Jian Jiao 007; Jingwen Lu; Daxin Jiang; Rangan Majumder; Nan Duan (WWW, 2023)

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2023)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. - Jiashuo Sun; Chengjin Xu; Lumingyuan Tang; Saizhuo Wang; Chen Lin 001; Yeyun Gong; Heung-Yeung Shum; Jian Guo (CoRR, 2023)

Adapting LLM Agents Through Communication. - Kuan Wang; Yadong Lu; Michael Santacroce; Yeyun Gong; Chao Zhang; Yelong Shen (CoRR, 2023)

CMMLU: Measuring massive multitask language understanding in Chinese. - Haonan Li 002; Yixuan Zhang; Fajri Koto; Yifei Yang; Hai Zhao 001; Yeyun Gong; Nan Duan; Timothy Baldwin (ACL (Findings), 2024)

Competition-Level Problems are Effective LLM Evaluators. - Yiming Huang; Zhenghao Lin; Xiao Liu 029; Yeyun Gong; Shuai Lu; Fangyu Lei; Yaobo Liang; Yelong Shen; Chen Lin 001; Nan Duan; Weizhu Chen (ACL (Findings), 2024)

PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization. - Xinbei Ma; Yeyun Gong; Pengcheng He; Hai Zhao 001; Nan Duan (LREC/COLING, 2024)

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Jiashuo Sun; Hang Zhang 029; Chen Lin 001; Xiangdong Su; Yeyun Gong; Jian Guo (LREC/COLING, 2024)

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Dayiheng Liu; Shunyu Zhang; Xingwei He 003; Jiancheng Lv 001; Jian Guo (LREC/COLING, 2024)

Task Oriented In-Domain Data Augmentation. - Xiao Liang; Xinyu Hu; Simiao Zuo; Yeyun Gong; Qiang Lou; Yi Liu; Shao-Lun Huang; Jian Jiao (EMNLP, 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 (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 (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 001; Yeyun Gong; Lionel M. Ni; Heung-Yeung Shum; Jian Guo (ICLR, 2024)

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. - Xingwei He 003; Zhenghao Lin; Yeyun Gong; A-Long Jin; Hang Zhang 029; Chen Lin 001; Jian Jiao 007; Siu Ming Yiu; Nan Duan; Weizhu Chen (NAACL (Industry Track), 2024)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. - Yi Luo; Zhenghao Lin; Yuhao Zhang; Jiashuo Sun; Chen Lin 001; Chengjin Xu; Xiangdong Su; Yelong Shen; Jian Guo; Yeyun Gong (NAACL-HLT, 2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. - Jiashuo Sun; Yi Luo; Yeyun Gong; Chen Lin 001; Yelong Shen; Jian Guo; Nan Duan (NAACL-HLT (Findings), 2024)

Not All Tokens Are What You Need for Pretraining. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (NeurIPS, 2024)

LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jingwen Lu; Yan Zhang 117; Linjun Yang; Rangan Majumder; Nan Duan (WSDM, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

A novel approach for estimating lung tumor motion based on dynamic features in 4D-CT. - Yeyun Gong; Yue-Ke Li; Rongrong Zhou; Zhan Liang; Yingying Zhang; Tingting Cheng; Zijian Zhang 004 (Comput. Medical Imaging Graph., 2024)

Exploring the Mystery of Influential Data for Mathematical Reasoning. - Xinzhe Ni; Yeyun Gong; Zhibin Gou; Yelong Shen; Yujiu Yang; Nan Duan; Weizhu Chen (CoRR, 2024)

Rho-1: Not All Tokens Are What You Need. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (CoRR, 2024)

Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding. - Jiang Li 013; Xiangdong Su; Yeyun Gong; Guanglai Gao (CoRR, 2024)

Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance. - Haoling Li; Xin Zhang 099; Xiao Liu 029; Yeyun Gong; Yifan Wang; Yujiu Yang; Qi Chen 009; Peng Cheng 005 (CoRR, 2024)

Task Oriented In-Domain Data Augmentation. - Xiao Liang; Xinyu Hu; Simiao Zuo; Yeyun Gong; Qiang Lou; Yi Liu; Shao-Lun Huang; Jian Jiao 007 (CoRR, 2024)

AutoVerus: Automated Proof Generation for Rust Code. - Chenyuan Yang; Xuheng Li; Md Rakib Hossain Misu; Jianan Yao; Weidong Cui; Yeyun Gong; Chris Hawblitzel; Shuvendu K. Lahiri; Jacob R. Lorch; Shuai Lu; Fan Yang 024; Ziqiao Zhou; et al. (CoRR, 2024)

Integrative Decoding: Improve Factuality via Implicit Self-consistency. - Yi Cheng; Xiao Liang; Yeyun Gong; Wen Xiao; Song Wang; Yuji Zhang 002; Wenjun Hou; Kaishuai Xu; Wenge Liu; Wenjie Li 002; Jian Jiao 007; Qi Chen 009; et al. (CoRR, 2024)

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training. - Zheheng Luo; Xin Zhang 099; Xiao Liu 029; Haoling Li; Yeyun Gong; Chen Qi; Peng Cheng 005 (CoRR, 2024)

Generative Context Distillation. - Haebin Shin; Lei Ji; Yeyun Gong; Sungdong Kim; Eunbi Choi; Minjoon Seo (CoRR, 2024)

From Intention To Implementation: Automating Biomedical Research via LLMs. - Yi Luo; Linghang Shi; Yihao Li; Aobo Zhuang; Yeyun Gong; Ling Liu; Chen Lin (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 (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 (AAAI, 2025)

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training. - Zheheng Luo; Xin Zhang; Xiao Liu; Haoling Li; Yeyun Gong; Qi Chen; Peng Cheng (ACL (1), 2025)

Process-based Self-Rewarding Language Models. - Shimao Zhang; Xiao Liu; Xin Zhang; Junxiao Liu; Zheheng Luo; Shujian Huang; Yeyun Gong (ACL (Findings), 2025)

Automated Proof Generation for Rust Code via Self-Evolution. - Tianyu Chen; Shuai Lu; Shan Lu 001; Yeyun Gong; Chenyuan Yang; Xuheng Li; Md Rakib Hossain Misu; Hao Yu; Nan Duan; Peng Cheng 005; Fan Yang 024; Shuvendu K. Lahiri; et al. (ICLR, 2025)

Integrative Decoding: Improving Factuality via Implicit Self-consistency. - Yi Cheng; Xiao Liang; Yeyun Gong; Wen Xiao; Song Wang; Yuji Zhang 002; Wenjun Hou; Kaishuai Xu; Wenge Liu; Wenjie Li 002; Jian Jiao 007; Qi Chen 009; et al. (ICLR, 2025)

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

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning. - Sungjin Park; Xiao Liu; Yeyun Gong; Edward Choi (NAACL (Long Papers), 2025)

Generative Prompt Internalization. - Haebin Shin; Lei Ji; Yeyun Gong; Sungdong Kim; Eunbi Choi; Minjoon Seo (NAACL (Long Papers), 2025)

Adapting LLM Agents with Universal Communication Feedback. - Kuan Wang; Yadong Lu; Michael Santacroce; Yeyun Gong; Chao Zhang; Yelong Shen (NAACL (Findings), 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 2025)

Optimizing Large Language Model Training Using FP4 Quantization. - Ruizhe Wang; Yeyun Gong; Xiao Liu 029; Guoshuai Zhao; Ziyue Yang; Baining Guo; Zhengjun Zha; Peng Cheng 005 (CoRR, 2025)

DeepThink: Aligning Language Models with Domain-Specific User Intents. - Yang Li; Mingxuan Luo; Yeyun Gong; Chen Lin; Jian Jiao; Yi Liu; Kaili Huang (CoRR, 2025)

Process-based Self-Rewarding Language Models. - Shimao Zhang; Xiao Liu 029; Xin Zhang 099; Junxiao Liu; Zheheng Luo; Shujian Huang; Yeyun Gong (CoRR, 2025)

Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling. - Haebin Shin; Lei Ji; Xiao Liu; Yeyun Gong (CoRR, 2025)

How does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective. - Shimao Zhang; Zhejian Lai; Xiang Liu 023; Shuaijie She; Xiao Liu; Yeyun Gong; Shujian Huang; Jiajun Chen 001 (CoRR, 2025)

HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification. - Yuntao Shi; Yi Luo; Yeyun Gong; Chen Lin 001 (CoRR, 2025)

TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression. - Zhong-Zhi Li; Xiao Liang; Zihao Tang; Lei Ji; Peijie Wang; Haotian Xu; Xing W; Haizhen Huang; Weiwei Deng; Yeyun Gong; Zhijiang Guo; Xiao Liu 040; et al. (CoRR, 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 (CoRR, 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; Yelong Shen; Yujiu Yang; Yeyun Gong (CoRR, 2025)

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection. - Zheng Zhan 004; Liliang Ren; Shuohang Wang; Liyuan Liu; Yang Liu; Yeyun Gong; Yanzhi Wang; Yelong Shen (CoRR, 2025)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training. - Kailai Yang; Xiao Liu 029; Lei Ji; Hao Li 074; Yeyun Gong; Peng Cheng 005; Mao Yang 004 (CoRR, 2025)

DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections. - Haebin Shin; Lei Ji; Xiao Liu; Zhiwei Yu; Qi Chen; Yeyun Gong (CoRR, 2025)

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR. - Xiao Liang; Zhongzhi Li; Yeyun Gong; Yelong Shen; Ying Nian Wu; Zhijiang Guo; Weizhu Chen (CoRR, 2025)