Yongqi Li

Yongqi Li

Email: liyongqi[at]whu.edu.cn

About

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

My research focuses on knowledge alignment and behavior alignment in AI models, employing techniques like causal reasoning and feedback-driven learning.

I aim to develop AI that is safe, reliable, and interacts effectively with humans.

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News

Dec. 2024

Two papers accepted at AAAI 2025!

Sep. 2024

One paper accepted at EMNLP 2024 (1 Main)!

May 2024

Two papers accepted at ACL 2024 (2 Findings)!

Feb. 2024

One paper accepted at LREC-COLING 2024!

Oct. 2023

Two papers accepted at EMNLP 2023 (1 Main, 1 Findings)!

Publications

(*=corresponding author, =Equal Contribution)

2025

Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. PDF GitHub

Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian*.

AAAI 2025 Proceedings of the 39th AAAI Conference on Artificial Intelligence

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. PDF GitHub

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

AAAI 2025 (Oral, Top 5%) Proceedings of the 39th AAAI Conference on Artificial Intelligence

2024

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. PDF GitHub

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

EMNLP 2024 Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

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

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

ACL 2024 Findings Findings of the Association for Computational Linguistics: ACL 2024

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

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

ACL 2024 Findings Findings of the Association for Computational Linguistics: ACL 2024

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

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

LREC-COLING 2024 The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation

2023

Generating Commonsense Counterfactuals for Stable Relation Extraction. PDF GitHub

Xin Miao, Yongqi Li, Tieyun Qian*.

EMNLP 2023 Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

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

Yongqi Li, Yu Yu, Tieyun Qian*.

EMNLP 2023 Findings Findings of the Association for Computational Linguistics: EMNLP 2023

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

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

ECML/PKDD 2023 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Service

  • Conference Reviewer: ACL 2024, EMNLP 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, 2022