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 current research focuses on exploring methods to (theoretically) understand and (empirically) improve the generalization of AI Alignment.
I am committed to developing trustworthy AI that can communicate effectively with humans.
Follow
News
One paper accepted at ACL 2025 (1 Main)!
Starting a journey as a research intern at Alibaba Tongyi Lab!
Two papers accepted at AAAI 2025!
One paper accepted at EMNLP 2024 (1 Main)!
Two papers accepted at ACL 2024 (2 Findings)!
One paper accepted at LREC-COLING 2024!
Two papers accepted at EMNLP 2023 (1 Main, 1 Findings)!
Experience
- Research Intern, Tongyi Lab, Alibaba, May 2025 - Now. Direction: Generalization of AI Alignment.
Publications
(*=corresponding author, †=Equal Contribution)
2025
Aligning VLM Assistants with Personalized Situated Cognition.
Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu*, Ming Zhong, Tieyun Qian*.
ACL 2025 The 63rd Annual Meeting of the Association for Computational Linguistics
Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. [Paper] [Code] [Review] [Blog (中文)]
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. [Paper] [Code] [Review] [Blog (中文)]
Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian*.
AAAI 2025 (Oral, 4.6%) Proceedings of the 39th AAAI Conference on Artificial Intelligence
2024
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. [Paper] [Code] [Review]
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. [Paper] [Review]
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. [Paper] [Code] [Review]
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. [Paper] [Review] [Blog (中文)]
Yongqi Li†, Mayi Xu†, Xin Miao†, Shen Zhou†, Tieyun Qian*.
LREC-COLING 2024 Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
2023
Generating Commonsense Counterfactuals for Stable Relation Extraction. [Paper] [Code] [Review]
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. [Paper] [Code] [Review] [Blog (中文)]
Yongqi Li, Yu Yu, Tieyun Qian*.
EMNLP 2023 Findings Findings of the Association for Computational Linguistics: EMNLP 2023
Service
- Conference Reviewer: ACL 2024-2025, EMNLP 2024, AAAI 2025, NAACL 2024-2025, 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