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Yongqi Li (李永奇)

liyongqi[at]whu.edu.cn
About

Hi! I am a first-year Master student at NLPGM Lab @ Wuhan University, under the supervision of Prof.  Tieyun Qian. I obtained B.Eng. from Wuhan University in 2023.

From the methodological perspective, I am particularly interested in automated alignment and causality for NLP. In terms of specific applications, I am familiar with information extraction and post-training of LLMs. My long-term goal is to realize safe and reliable AI with the causality theory. If I am fortunate enough to achieve this one day, I will be extremely excited.

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News

May 2024 Two papers are accepted by ACL'2024 (2 Findings)!
Feb. 2024 One paper is accepted by LREC-COLING'2024!
Oct. 2023 Two papers are accepted by EMNLP'2023 (1 Main and 1 Findings)!

Publications

(*=corresponding author, †=Equal Contribution)

    2024

  • Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction.

    Xin Miao, Yongqi Li, Shen Zhou, Tieyun Qian*.

    Findings of the Association for Computational Linguistics: ACL 2024 (ACL'24 Findings).

       

  • An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction.

    Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian*.

    Findings of the Association for Computational Linguistics: ACL 2024 (ACL'24 Findings).

       

  • Prompting Large Language Models for Counterfactual Generation: An Empirical Study.

    Yongqi Li†, Mayi Xu†, Xin Miao†, Shen Zhou†, Tieyun Qian*.

    The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24).

     

    • 2023

  • Generating Commonsense Counterfactuals for Stable Relation Extraction.

    Xin Miao, Yongqi Li, Tieyun Qian*.

    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP'23).

       

  • Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition.

    Yongqi Li, Yu Yu, Tieyun Qian*.

    Findings of the Association for Computational Linguistics: EMNLP 2023 (EMNLP'23 Findings).

       

  • Cold-start Multi-hop Reasoning by Hierarchical Guidance and Self-verification.

    Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian*.

    The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'23).

       

Service

  • Conference Reviewer: ACL 2024, NAACL 2024, EACL 2024

Awards & Honors

  • Outstanding Undergraduate Thesis (top 5%), Wuhan University, 2023
  • Honor Graduate Award of Hongyi Honor College, Wuhan University, 2023
  • Huawei Scholarship, Joint Working Group of the Ministry of Education and Huawei, 2022