Yongqi Li

According to our database, Yongqi Li authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

How Robust are Large Language Models Against Word-Level Spurious Correlations? A Causal Discovery Approach.

Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuyang Ren, Tieyun Qian

Mach. Learn., March, 2026

Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions.

Yongqi Li, Hao Lang, Tieyun Qian, Yongbin Li

CoRR, January, 2026

Reasoning based on symbolic and parametric knowledge bases: A survey.

Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian

Inf. Process. Manag., 2026

Developing continuous toxicity detection against increasing types of perturbed toxic text.

Hankun Kang, Jianhao Chen, Yongqi Li, Xin Miao, Mayi Xu, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian

Inf. Process. Manag., 2026

Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment.

Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

Proceedings of the Database Systems for Advanced Applications, 2026

2025

Understanding Generalization in Role-Playing Models via Information Theory.

Yongqi Li, Hao Lang, Fei Huang, Tieyun Qian, Yongbin Li

CoRR, December, 2025

FuSaR: A Fuzzification-Based Method for LRM Safety-Reasoning Balance.

Jianhao Chen, Mayi Xu, Xiaohu Li, Yongqi Li, Xiangyu Zhang, Jianjie Huang, Tieyun Qian

CoRR, August, 2025

A Survey on Training-free Alignment of Large Language Models.

Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SynTSE: A Syntax-Aware Generative Method for Topic-Stance Extraction.

Jintao Wen, Yongqi Li, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian

Proceedings of the Web and Big Data - 9th International Joint Conference, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian

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

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

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Xin Miao, Yongqi Li, Shen Zhou, Tieyun Qian

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Large Language Models as Counterfactual Generator: Strengths and Weaknesses.

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

CoRR, 2023

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

Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 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, 2023

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

Yongqi Li, Yu Yu, Tieyun Qian

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