Publications

You can also find my articles on my Google Scholar.

• 2024
  • 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. Accepted to EMNLP 2024.
  • Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren. 2024. MINT: A Benchmark for Evaluating Instructed Information Retrieval. Accepted to 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. Accepted to 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. Accepted to 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. Accepted to EMNLP 2024 Findings.
  • Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Suzan Verberne and Zhaochun Ren. 2024. Chain of Tools: Large Language Model is an Automatic Multi-tool Learner. arXiv preprint arXiv:2405.16533.
  • Guanying Jiang, Lingyong Yan*(co-first author), Haibo Shi and Dawei Yin. 2024. The Real, the Better: Aligning Large Language Models with Online Human Behaviors. arXiv preprint arXiv:2405.00578.
  • 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).
• 2023
  • Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren. 2023. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. In proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Outstanding Paper
  • Yukun Zhao, Lingyong Yan*(co-first author), Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin. 2023. DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. In proceedings of Findings of the Association for Computational Linguistics: EMNLP 2023.
  • Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren. 2023. Learning to Tokenize for Generative Retrieval. In proceedings of Advances in Neural Information Processing Systems (NeurIPS 2023).
  • Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren. 2023. Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. In CIKM 2023 Workshop on Generative Recommendation.
• 2021
  • Lingyong Yan, Xianpei Han and Le Sun. 2021. Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021). (paper, code)
  • Fangchao Liu, Xinyan Xiao, Lingyong Yan, Hongyu Lin, Xianpei Han, Dai Dai, Hua Wu and Le Sun. 2021. From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification. In CCL 2021.
  • Fangchao Liu, Lingyong Yan, Hongyu Lin, Xianpei Han, Le Sun. 2021. Element Intervention for Open Relation Extraction. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL 2021).
  • Boxi Cao, Hongyu Lin, Xianpei Han, Le Sun, Lingyong Yan, Meng Liao, Tong Xue, Jin Xu. 2021. Knowledgeable or Educated Guess: Rethinking Masked Language Models as Factual Knowledge Bases. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL 2021).
• before 2020
  • Lingyong Yan, Xianpei Han, Le Sun, Fangchao Liu, and Ning Bian. 2020. From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension. arXiv preprint arXiv:2012.04334.
  • Lingyong Yan, Xianpei Han and Le Sun. 2020. Reinforcement Learning for Clue Selection in Web-Based Entity Translation Mining. In Proceedings of the 2020 China Conference on Knowledge Graph and Semantic Computing (CCKS 2020).
  • Lingyong Yan, Xianpei Han, Ben He and Le Sun. 2020. Global Bootstrapping Neural Network for Entity Set Expansion. In findings of ACL: EMNLP 2020. (paper, code)
  • Lingyong Yan, Xianpei Han, Ben He and Le Sun. 2020. End-to-End Bootstrapping Neural Network for Entity Set Expansion. In Proceedings ofThirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). New York, USA. (paper, code)
  • Lingyong Yan, Xianpei Han, Le Sun and Ben He. 2019. Learning to Bootstrap for Entity Set Expansion. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019). Hong Kong, China.(paper, code)