 Large Language Models Can Learn Temporal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model
on Knowledge GraphInternational Conference on Learning Representations (ICLR), 2023 |
 Language Models Don't Always Say What They Think: Unfaithful
Explanations in Chain-of-Thought PromptingNeural Information Processing Systems (NeurIPS), 2023 |
 Self-Consistency Improves Chain of Thought Reasoning in Language ModelsInternational Conference on Learning Representations (ICLR), 2022 |
 Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020 |
 PubMedQA: A Dataset for Biomedical Research Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
