Hongyu Lin (林鸿宇)
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Ph.D., Natural Language Processing B.Eng., Software Engineering B.Ec., Economics(Minor) |
News
2023-05-01 Several papers accepted by AAAI2023 and ACL2023
2022-04-21 We have one paper about Entity Matching accepted by IJCAI2022. Congratulate Tianshu for his first publication!
2022-04-06 Papers and source code of our ACL2022 papers are released.
2022-02-25 We have 4 papers accepted by ACL2022 main conference and 1 paper accepted by Findings of ACL2022! Papers and codes are coming soon.
2021-12-02 Jialong's paper about procedural text understanding has been accepted by AAAI2022!
2021-11-12 Yaojie's paper about event coreference resolution has been accepted by Artificial Intelligence. Congratulates!
2021-08-26 Two papers accepted by the main conference of EMNLP2021. Congratulate Qing and Jiawei!
2021-05-05 We have 5 papers accepted by the main conference of ACL2021!
2020-12-03 One paper accepted by AAAI2021!
2020-09-15 One paper accepted by EMNLP2020 and One paper accepted by Findings of ACL at EMNLP2020!
2019-08-13 One paper accepted by EMNLP2019! Hope to see you in a peaceful Hongkong!
2019-05-14 Three papers accepted by ACL2019! Thanks all of my great co-authors!
Bio
I am an associate professor in Chinese Information Processing Laboratory(ICIP), Institute of Software, Chinese Academy of Sciences(ISCAS). Before this, I got my Ph.D. degree from ISCAS and my bachelor degree from Xiamen University.
Research Interests
My current research interests lie in the field of large language models (LLMs) and information extraction, with a specific focus on the underlying mechanisms of LLMs that facilitate the acquisition, storage, and utilization of various forms of knowledge across different phrases.
Selected Publications (Full List)
[ACL22] Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, H Wu. Unified Structure Generation for Universal Information Extraction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics.
[ACL22] Boxi Cao, Hongyu Lin, Xianpei Han, Fangchao Liu, Le Sun. Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics.
[ACL21] Boxi Cao, Hongyu Lin, Xianpei Han, Le Sun, Lingyong Yan, Meng Liao, Tong Xue, Jin Xu. Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics.
[EMNLP20] Hongyu Lin, Yaojie Lu, Jialong Tang, Xianpei Han, Le Sun, Zhicheng Wei, Nicholas Jing Yuan. A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.
[ACL19] Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun. Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
[ACL18] Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun. Nugget Proposal Networks for Chinese Event Detection. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics.
[ACL18] Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun. Adaptive Scaling for Sparse Detection in Information Extraction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics.
[EMNLP17] Hongyu Lin, Le Sun, Xianpei Han. Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.