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Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation.

, , and . BlackboxNLP@EMNLP, page 163-173. Association for Computational Linguistics, (2020)

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Causal Abstraction for Faithful Model Interpretation., , and . CoRR, (2023)Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models., , and . CoRR, (2020)Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation., , and . BlackboxNLP@EMNLP, page 163-173. Association for Computational Linguistics, (2020)Posing Fair Generalization Tasks for Natural Language Inference., , , and . EMNLP/IJCNLP (1), page 4484-4494. Association for Computational Linguistics, (2019)Rigorously Assessing Natural Language Explanations of Neurons., , , , and . BlackboxNLP@EMNLP, page 317-331. Association for Computational Linguistics, (2023)Linear Representations of Sentiment in Large Language Models., , , and . CoRR, (2023)DynaSent: A Dynamic Benchmark for Sentiment Analysis., , , and . ACL/IJCNLP (1), page 2388-2404. Association for Computational Linguistics, (2021)CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior., , , , , , , and . NeurIPS, (2022)Causal Abstractions of Neural Networks., , , and . NeurIPS, page 9574-9586. (2021)ReFT: Representation Finetuning for Language Models., , , , , , and . CoRR, (2024)