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GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks.

, , and . CoRR, (2023)

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Unobserved Local Structures Make Compositional Generalization Hard., , and . EMNLP, page 2731-2747. Association for Computational Linguistics, (2022)Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation., , and . EMNLP (Findings), page 4966-4979. Association for Computational Linguistics, (2022)Successive Prompting for Decomposing Complex Questions., , , and . EMNLP, page 1251-1265. Association for Computational Linguistics, (2022)Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages., , , and . ACL (Findings), page 14078-14092. Association for Computational Linguistics, (2023)Leveraging Code to Improve In-context Learning for Semantic Parsing., , , and . CoRR, (2023)COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images., , , and . EMNLP (1), page 9824-9846. Association for Computational Linguistics, (2021)Coverage-based Example Selection for In-Context Learning., , and . EMNLP (Findings), page 13924-13950. Association for Computational Linguistics, (2023)GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks., , and . CoRR, (2023)Leveraging Code to Improve In-Context Learning for Semantic Parsing., , , and . NAACL-HLT, page 4971-5012. Association for Computational Linguistics, (2024)GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks., , and . ICML, OpenReview.net, (2024)