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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)Causal Proxy Models for Concept-Based Model Explanations., , , , and . CoRR, (2022)A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments., , , , , , and . CoRR, (2024)RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations., , , , and . CoRR, (2024)Dynabench: Rethinking Benchmarking in NLP., , , , , , , , , and 9 other author(s). NAACL-HLT, page 4110-4124. Association for Computational Linguistics, (2021)Recursive Routing Networks: Learning to Compose Modules for Language Understanding., , , , , , , , , and 2 other author(s). NAACL-HLT (1), page 3631-3648. Association for Computational Linguistics, (2019)