Lingyong Yan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis. | Jiulong Wu, Yucheng Shen, Lingyong Yan, Haixin Sun, Deguo Xia, Jizhou Huang, Min Cao |
| 2026 | ACL | Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models. | Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li |
| 2026 | EACL | LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts. | Yang Liu, Jiaye Yang, Weikang Li, Jiahui Liang, Yang Li, Lingyong Yan |
| 2025 | ACL | Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. | Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren |
| 2025 | ACL | Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization. | Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin |
| 2025 | ACL | Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. | Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin |
| 2025 | EMNLP | DRBO: Mitigating Short Board Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization. | Nuo Chen, Yufei Gao, Yongnan Jin, Yan Hu, Anningzhe Gao, Lingyong Yan, Benyou Wang |
| 2025 | EMNLP | Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. | Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan, Min Cao, Min Zhang |
| 2025 | EMNLP | Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. | Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha |
| 2025 | ICLR | MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. | Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2025 | NAACL | PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. | Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao |
| 2025 | WWW | Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. | Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren |
| 2024 | COLING | Improving the Robustness of Large Language Models via Consistency Alignment. | Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin |
| 2024 | EMNLP | MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. | Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren |
| 2024 | EMNLP | Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. | Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling |
| 2024 | EMNLP | KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. | Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren |
| 2024 | EMNLP | Learning to Use Tools via Cooperative and Interactive Agents. | Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren |
| 2024 | EMNLP | ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. | Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha |
| 2024 | NAACL | Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. | Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin |
| 2023 | EMNLP | Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. | Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren |
| 2023 | EMNLP | DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. | Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin |
| 2021 | ACL | Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases. | Boxi Cao, Hongyu Lin, Xianpei Han, Le Sun, Lingyong Yan, Meng Liao, Tong Xue, Jin Xu |
| 2021 | ACL | Element Intervention for Open Relation Extraction. | Fangchao Liu, Lingyong Yan, Hongyu Lin, Xianpei Han, Le Sun |
| 2021 | EMNLP | Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion. | Lingyong Yan, Xianpei Han, Le Sun |
| 2020 | AAAI | End-to-End Bootstrapping Neural Network for Entity Set Expansion. | Lingyong Yan, Xianpei Han, Ben He, Le Sun |
| 2020 | EMNLP | Global Bootstrapping Neural Network for Entity Set Expansion. | Lingyong Yan, Xianpei Han, Ben He, Le Sun |
| 2019 | EMNLP | Learning to Bootstrap for Entity Set Expansion. | Lingyong Yan, Xianpei Han, Le Sun, Ben He |