I am currently a Research Scientist / Staff Engineer at the Agent Team in Baidu Search (Beijing), working on advancing the research and development in Large Language Models (LLMs) and LLM-based Agents. I received my Ph.D. in 2021 from the Institute of Software, Chinese Academy of Sciences (ISCAS), under the supervision of Prof. Le Sun and Prof. Xianpei Han. My research interests focus on Large Language Models, LLM-based Agents, Model Alignment, and related areas. I have published over 20 papers at top-tier AI conferences, including ACL, NeurIPS, ICLR and EMNLP, and my work received the Outstanding Paper Award at EMNLP 2023.

🔔Recruitment🔔: I am seeking several self-motivated Ph.D. candidates and graduates to join us as research interns or full-time employees. Please send your CV to yanlingyong [at] baidu.com if interested.

Recent News

• [2025-09] 2 papers get accepted by NeurIPS 2025.
• [2025-08] 3 papers get accepted by EMNLP 2025.
• [2025-05] 3 papers get accepted by ACL 2025.
• [2025-01] 3 papers get accepted by WWW 2025, ICLR 2025 and NAACL 2025.

Recent Publications

• Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao. 2025. Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. Accpected to NeurIPS 2025.
• Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten de Rijke, Zhaochun Ren. 2025. Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers. Accpected to NeurIPS 2025.
• Junda Zhu*, Lingyong Yan*(co-first author), Shuaiqiang Wang, Dawei Yin, Lei Sha. 2025. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. Accpected to EMNLP 2025.
• Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan\(^\dagger\), Min Cao\(^\dagger\), Min Zhang. 2025. Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. Accpected to EMNLP 2025.
• Nuo Chen, Yufei Gao, Yongnan Jin, Yan Hu, Anningzhe Gao, Lingyong Yan, Benyou Wang. 2025. Mitigating Short Board Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization. Accpected to EMNLP 2025 Findings.
• Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan\(^\dagger\), Dawei Yin\(^\dagger\). 2025. Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. In ACL 2025.
• Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren. 2025. Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. In ACL 2025 Findings.
• Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin. 2025. Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization. In ACL 2025 Findings.
• Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin and Ming Gao. 2025. PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. In NAACL 2025.
• Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke and Zhaochun Ren. 2025. MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. In ICLR 2025.
• Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne and Zhaochun Ren. 2025. Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. In WWW 2025.
• Junda Zhu*, Lingyong Yan*(co-first author), Haibo Shi, Dawei Yin, Lei Sha. 2024. ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. In EMNLP 2024.
• Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren. 2024. MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. In EMNLP 2024.
• Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke and Zhaochun Ren. 2024. KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. In EMNLP 2024.
• Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne and Zhaochun Ren. 2024. Learning to Use Tools via Cooperative and Interactive Agents. In EMNLP 2024 Findings.
• Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling. 2024. Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. In EMNLP 2024 Findings.
• Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren and Dawei Yin. 2024. Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. In proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2024).
• Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren and Dawei Yin. 2024. Improving the Robustness of Large Language Models via Consistency Alignment. In proceedings of Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).

See all my publications here.

Services

Program Committee Member

• Area Chair/Action Editor: ACL ARR
• Reviewer: ACL, EMNLP, NAACL, AAAI, etc.

Journal Reviewer

• Transactions on Knowledge and Data Engineering