Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning. - Zhichao Geng; Ming Zhong 005; Zhangyue Yin; Xipeng Qiu; Xuanjing Huang 001 (COLING, 2022)

What Dense Graph Do You Need for Self-Attention? - Yuxin Wang 005; Chu-Tak Lee; Qipeng Guo; Zhangyue Yin; Yunhua Zhou; Xuanjing Huang 001; Xipeng Qiu (ICML, 2022)

TURNER: The Uncertainty-based Retrieval Framework for Chinese NER. - Zhichao Geng; Hang Yan 001; Zhangyue Yin; Chenxin An; Xipeng Qiu (CoRR, 2022)

What Dense Graph Do You Need for Self-Attention? - Yuxing Wang; Chu-Tak Lee; Qipeng Guo; Zhangyue Yin; Yunhua Zhou; Xuanjing Huang 001; Xipeng Qiu (CoRR, 2022)

A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks. - Zhigang Kan; Linhui Feng; Zhangyue Yin; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (CoRR, 2022)

Do Large Language Models Know What They Don't Know? - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Jiawen Wu 002; Xipeng Qiu; Xuanjing Huang 001 (ACL (Findings), 2023)

Graph Structure Learning via Lottery Hypothesis at Scale. - Yuxin Wang 005; Xiannian Hu; Jiaqing Xie; Zhangyue Yin; Yunhua Zhou; Xipeng Qiu; Xuanjing Huang 001 (ACML, 2023)

Rethinking Label Smoothing on Multi-Hop Question Answering. - Zhangyue Yin; Yuxin Wang 005; Xiannian Hu; Yiguang Wu; Hang Yan 001; Xinyu Zhang 019; Zhao Cao; Xuanjing Huang 001; Xipeng Qiu (CCL, 2023)

Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. - Yixuan Sun; Dongyang Zhao; Zhangyue Yin; Yiwen Huang; Tao Gui; Wenqiang Zhang; Weifeng Ge (CVPR, 2023)

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. - Zhangyue Yin; Qiushi Sun; Cheng Chang; Qipeng Guo; Junqi Dai; Xuanjing Huang 001; Xipeng Qiu (EMNLP, 2023)

Secrets of RLHF in Large Language Models Part I: PPO. - Rui Zheng; Shihan Dou; Songyang Gao; Yuan Hua; Wei Shen; Binghai Wang; Yan Liu 002; Senjie Jin; Qin Liu 010; Yuhao Zhou; Limao Xiong; Lu Chen; et al. (CoRR, 2023)

The Rise and Potential of Large Language Model Based Agents: A Survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (CoRR, 2023)

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. - Qiushi Sun; Zhangyue Yin; Xiang Li 067; Zhiyong Wu 003; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

Evaluating Hallucinations in Chinese Large Language Models. - Qinyuan Cheng; Tianxiang Sun; Wenwei Zhang; Siyin Wang; Xiangyang Liu; Mozhi Zhang; Junliang He; Mianqiu Huang; Zhangyue Yin; Kai Chen 026; Xipeng Qiu (CoRR, 2023)

A Survey of Reasoning with Foundation Models. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 002; Wenhai Wang; et al. (CoRR, 2023)

A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. - Zhigang Kan; Linhui Feng; Zhangyue Yin; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (IEEE Trans. Big Data, 2023)

An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios. - Zhigang Kan; Yanqi Shi; Zhangyue Yin; Liwen Peng; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (Inf. Sci., 2023)

Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Xiaonan Li; Junqi Dai; Qinyuan Cheng; Xuanjing Huang 001; Xipeng Qiu (ACL (1), 2024)

Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem. - Yuhong Sun; Zhangyue Yin; Qipeng Guo; Jiawen Wu 002; Xipeng Qiu; Hui Zhao (LREC/COLING, 2024)

Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Xiaonan Li; Tianxiang Sun; Cheng Chang; Qinyuan Cheng; Ding Wang; Xiaofeng Mou; Xipeng Qiu; Xuanjing Huang 001 (LREC/COLING, 2024)

Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration. - Yixuan Sun; Zhangyue Yin; Haibo Wang 006; Yan Wang 068; Xipeng Qiu; Weifeng Ge; Wenqiang Zhang (CVPR, 2024)

Unified Active Retrieval for Retrieval Augmented Generation. - Qinyuan Cheng; Xiaonan Li; Shimin Li; Qin Zhu; Zhangyue Yin; Yunfan Shao; Linyang Li; Tianxiang Sun; Hang Yan 001; Xipeng Qiu (EMNLP (Findings), 2024)

Explicit Memory Learning with Expectation Maximization. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Qinyuan Cheng; Xipeng Qiu; Xuanjing Huang 001 (EMNLP, 2024)

Turn Waste into Worth: Rectifying Top-k Router of MoE. - Zhiyuan Zeng 004; Qipeng Guo; Zhaoye Fei; Zhangyue Yin; Yunhua Zhou; Linyang Li; Tianxiang Sun; Hang Yan 001; Dahua Lin; Xipeng Qiu (EMNLP, 2024)

Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk. - Zhiyuan Zeng 004; Qipeng Guo; Xiaoran Liu; Zhangyue Yin; Wentao Shu; Mianqiu Huang; Bo Wang 084; Yunhua Zhou; Linlin Li 001; Qun Liu 001; Xipeng Qiu (EMNLP, 2024)

R³-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL. - Yuhang Zhou; Yu He; Siyu Tian; Yuchen Ni; Zhangyue Yin; Xiang Liu; Chuanjun Ji; Sen Liu; Xipeng Qiu; Guangnan Ye; Hongfeng Chai (EMNLP (Findings), 2024)

Can AI Assistants Know What They Don't Know? - Qinyuan Cheng; Tianxiang Sun; Xiangyang Liu; Wenwei Zhang; Zhangyue Yin; Shimin Li; Linyang Li; Zhengfu He; Kai Chen 026; Xipeng Qiu (ICML, 2024)

LLatrieval: LLM-Verified Retrieval for Verifiable Generation. - Xiaonan Li; Changtai Zhu; Linyang Li; Zhangyue Yin; Tianxiang Sun; Xipeng Qiu (NAACL-HLT, 2024)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. - Qiushi Sun; Zhirui Chen; Fangzhi Xu; Kanzhi Cheng; Chang Ma; Zhangyue Yin; Jianing Wang 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan 018; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective. - Zhiyuan Zeng 004; Qinyuan Cheng; Zhangyue Yin; Bo Wang 084; Shimin Li; Yunhua Zhou; Qipeng Guo; Xuanjing Huang 001; Xipeng Qiu (CoRR, 2024)

VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks. - Shiduo Zhang; Zhe Xu; Peiju Liu; Xiaopeng Yu; Yuan Li; Qinghui Gao; Zhaoye Fei; Zhangyue Yin; Zuxuan Wu; Yu-Gang Jiang 001; Xipeng Qiu (CoRR, 2024)

MOSS: An Open Conversational Large Language Model. - Tianxiang Sun; Xiaotian Zhang; Zhengfu He; Peng Li; Qinyuan Cheng; Xiangyang Liu; Hang Yan 001; Yunfan Shao; Qiong Tang; Shiduo Zhang; Xingjian Zhao; Ke Chen; et al. (Mach. Intell. Res., 2024)

Correction to: MOSS: An Open Conversational Large Language Model. - Tianxiang Sun; Xiaotian Zhang; Zhengfu He; Peng Li; Qinyuan Cheng; Xiangyang Liu; Hang Yan 001; Yunfan Shao; Qiong Tang; Shiduo Zhang; Xingjian Zhao; Ke Chen; et al. (Mach. Intell. Res., 2024)

Contextual Structure Knowledge Transfer for Graph Neural Networks. - Zhiyuan Yu; Wenzhong Li; Zhangyue Yin; Xiaobin Hong 002; Shijian Xiao; Sanglu Lu (AAAI, 2025)

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? - Zhiyuan Zeng 004; Qinyuan Cheng; Zhangyue Yin; Yunhua Zhou; Xipeng Qiu (ACL (1), 2025)

Dynamic and Generalizable Process Reward Modeling. - Zhangyue Yin; Qiushi Sun; Zhiyuan Zeng 004; Qinyuan Cheng; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 2025)

Are LLMs Rational Investors? A Study on the Financial Bias in LLMs. - Yuhang Zhou; Yuchen Ni; Zhiheng Xi; Zhangyue Yin; Yu He; Gan Yunhui; Xiang Liu; Zhang Jian; Sen Liu; Xipeng Qiu; Yixin Cao; Guangnan Ye; et al. (ACL (Findings), 2025)

The rise and potential of large language model based agents: a survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (Sci. China Inf. Sci., 2025)

Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework. - Yuhong Sun; Zhangyue Yin; Xuanjing Huang 001; Xipeng Qiu; Hui Zhao (CoRR, 2025)

FamilyTool: A Multi-hop Personalized Tool Use Benchmark. - Yuxin Wang 005; Yiran Guo; Yining Zheng; Zhangyue Yin; Shuo Chen; Jie Yang; Jiajun Chen; Xuanjing Huang 001; Xipeng Qiu (CoRR, 2025)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)

R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning. - Yuan Li; Qi Luo; Xiaonan Li; Bufan Li; Qinyuan Cheng; Bo Wang 084; Yining Zheng; Yuxin Wang 005; Zhangyue Yin; Xipeng Qiu (CoRR, 2025)

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 012; Wenhai Wang; et al. (ACM Comput. Surv., 2025)