Publications

You can also find my articles on [my Google Scholar]

• 2024
  • 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. Accepted to 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. Accepted to 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. Accepted to EMNLP 2023.
  • 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. Accepted to Findings of 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. Accepted to 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)