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Improving and Simplifying Pattern Exploiting Training.

, , , , and . EMNLP (1), page 4980-4991. Association for Computational Linguistics, (2021)

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Evaluating the Factual Consistency of Large Language Models Through Summarization., , , , , and . CoRR, (2022)Resolving Interference When Merging Models., , , , and . CoRR, (2023)8.6 A full-duplex line driver for Gigabit Ethernet with rail-to-rail class-AB output stage in 28nm CMOS., , , , , , , , , and 1 other author(s). ISSCC, page 148-149. IEEE, (2014)Improving and Simplifying Pattern Exploiting Training., , , , and . EMNLP (1), page 4980-4991. Association for Computational Linguistics, (2021)10.3 An analog front-end for 100BASE-T1 automotive Ethernet in 28nm CMOS., , , , , , , , , and 9 other author(s). ISSCC, page 186-187. IEEE, (2016)Predicting Institution Hierarchies with Set-based Models., , , and . AKBC, (2020)Prosody-Aware Neural Machine Translation for Dubbing., , , , and . CoRR, (2021)Evaluating the Factual Consistency of Large Language Models Through News Summarization., , , , , and . ACL (Findings), page 5220-5255. Association for Computational Linguistics, (2023)Merging by Matching Models in Task Subspaces., , and . CoRR, (2023)An Empirical Survey of Data Augmentation for Limited Data Learning in NLP., , , , and . CoRR, (2021)