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Analyzing Transformers in Embedding Space.

, , , and . ACL (1), page 16124-16170. Association for Computational Linguistics, (2023)

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Making Retrieval-Augmented Language Models Robust to Irrelevant Context., , , and . CoRR, (2023)Transformer Feed-Forward Layers Are Key-Value Memories., , , and . CoRR, (2020)Global learning of textual entailment graphs. Tel Aviv University, Israel, (2012)Tel Aviv University Library.Neural network gradient-based learning of black-box function interfaces., , , , , , and . ICLR (Poster), OpenReview.net, (2019)DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion., , , and . NAACL-HLT (1), page 3443-3455. Association for Computational Linguistics, (2019)Evaluating Text GANs as Language Models., , , and . NAACL-HLT (1), page 2241-2247. Association for Computational Linguistics, (2019)Recognising Entailment within Discourse., , , and . COLING, page 770-778. Tsinghua University Press, (2010)Learning Verb Inference Rules from Linguistically-Motivated Evidence., , , and . EMNLP-CoNLL, page 194-204. ACL, (2012)Transformer Feed-Forward Layers Are Key-Value Memories., , , and . EMNLP (1), page 5484-5495. Association for Computational Linguistics, (2021)Achieving Model Robustness through Discrete Adversarial Training., and . EMNLP (1), page 1529-1544. Association for Computational Linguistics, (2021)