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Can language models learn from explanations in context?

, , , , , , , , and . EMNLP (Findings), page 537-563. Association for Computational Linguistics, (2022)

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The Edge of Orthogonality: A Simple View of What Makes BYOL Tick., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29063-29081. PMLR, (2023)Concreteness and Corpora: A Theoretical and Practical Study., , and . CMCL, page 75-83. Association for Computational Linguistics, (2013)Higher-order Comparisons of Sentence Encoder Representations., , , , and . EMNLP/IJCNLP (1), page 5837-5844. Association for Computational Linguistics, (2019)Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures., , , and . CoRR, (2020)Language models show human-like content effects on reasoning., , , , , , and . CoRR, (2022)Simulating Early Word Learning in Situated Connectionist Agents., , , and . CogSci, cognitivesciencesociety.org, (2020)SODA: Bottleneck Diffusion Models for Representation Learning., , , , , , , , and . CVPR, page 23115-23127. IEEE, (2024)SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation., , and . Computational Linguistics, 41 (4): 665-695 (2015)Analysing Mathematical Reasoning Abilities of Neural Models, , , and . (2019)cite arxiv:1904.01557.GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding, , , , , and . ICLR (Poster), OpenReview.net, (2019)