 MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific HypothesesInternational Conference on Learning Representations (ICLR), 2024 |
 Document-level Causal Relation Extraction with Knowledge-guided Binary
Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 Large Language Models Can Learn Temporal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 Temporal Validity Change PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 Large Language Models for Automated Open-domain Scientific Hypotheses
DiscoveryAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Mitigating Temporal Misalignment by Discarding Outdated FactsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Salient Span Masking for Temporal UnderstandingConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 Language Models as Inductive ReasonersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
 A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of
Computational ApproachesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
