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Transfer Learning in Natural Language Processing.

, , , and . NAACL-HLT (Tutorial Abstracts), page 15-18. Association for Computational Linguistics, (2019)

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HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation., , , , and . ACL (1), page 11272-11288. Association for Computational Linguistics, (2023)Extracting Latent Steering Vectors from Pretrained Language Models., , and . ACL (Findings), page 566-581. Association for Computational Linguistics, (2022)Explaining NLP Models via Minimal Contrastive Editing (MiCE)., , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3840-3852. Association for Computational Linguistics, (2021)OLMo: Accelerating the Science of Language Models., , , , , , , , , and 33 other author(s). CoRR, (2024)Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering., , , , and . ACL (1), page 1970-1989. Association for Computational Linguistics, (2023)Explaining NLP Models via Minimal Contrastive Editing (MiCE)., , and . CoRR, (2020)AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models., , , and . EACL (Findings), page 2009-2018. Association for Computational Linguistics, (2023)Hyperdecoders: Instance-specific decoders for multi-task NLP., and . EMNLP (Findings), page 1715-1730. Association for Computational Linguistics, (2022)Competency Problems: On Finding and Removing Artifacts in Language Data., , , , , , and . EMNLP (1), page 1801-1813. Association for Computational Linguistics, (2021)Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples., , and . ACL (1), page 1190-1199. Association for Computational Linguistics, (2018)