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xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks., , , and . CoRR, (2018)Go Beyond Plain Fine-Tuning: Improving Pretrained Models for Social Commonsense., , , , , and . SLT, page 1028-1035. IEEE, (2021)Do Localization Methods Actually Localize Memorized Data in LLMs?, , and . CoRR, (2023)CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks., , , , , and . NeurIPS, (2022)What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition., and . EMNLP/IJCNLP (1), page 6063-6069. Association for Computational Linguistics, (2019)Careful Data Curation Stabilizes In-context Learning., and . CoRR, (2022)Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks., , , , , and . CoRR, (2021)Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding., , and . LOUHI@EMNLP, page 39-43. Association for Computational Linguistics, (2019)Rethinking Why Intermediate-Task Fine-Tuning Works., and . EMNLP (Findings), page 706-713. Association for Computational Linguistics, (2021)A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation., , , , and . COLING (Demos), page 151-155. ACL, (2016)