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Transformer Feed-Forward Layers Are Key-Value Memories., , , and . CoRR, (2020)Making Retrieval-Augmented Language Models Robust to Irrelevant Context., , , and . CoRR, (2023)Global learning of textual entailment graphs. Tel Aviv University, Israel, (2012)Tel Aviv University Library.Recognising Entailment within Discourse., , , and . COLING, page 770-778. Tsinghua University Press, (2010)Diagonal State Spaces are as Effective as Structured State Spaces., , and . NeurIPS, (2022)Learning Verb Inference Rules from Linguistically-Motivated Evidence., , , and . EMNLP-CoNLL, page 194-204. ACL, (2012)Achieving Model Robustness through Discrete Adversarial Training., and . EMNLP (1), page 1529-1544. Association for Computational Linguistics, (2021)Transformer Feed-Forward Layers Are Key-Value Memories., , , and . EMNLP (1), page 5484-5495. Association for Computational Linguistics, (2021)Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision., , , , and . ACL (1), page 23-33. Association for Computational Linguistics, (2017)Crowdsourcing Inference-Rule Evaluation., , and . ACL (2), page 156-160. The Association for Computer Linguistics, (2012)