Yongqi Li

According to our database, Yongqi Li authored at least 9 papers between 2023 and 2024.

Collaborative distances:

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

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

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

Yongqi Li, 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