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Tailor: Generating and Perturbing Text with Semantic Controls.

, , , , and . ACL (1), page 3194-3213. Association for Computational Linguistics, (2022)

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Explaining NLP Models via Minimal Contrastive Editing (MiCE)., , and . CoRR, (2020)TESS: Text-to-Text Self-Conditioned Simplex Diffusion., , , , , , and . EACL (1), page 2347-2361. Association for Computational Linguistics, (2024)AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models., , , and . EACL (Findings), page 2009-2018. Association for Computational Linguistics, (2023)CDLM: Cross-Document Language Modeling., , , , , and . EMNLP (Findings), page 2648-2662. Association for Computational Linguistics, (2021)Competency Problems: On Finding and Removing Artifacts in Language Data., , , , , , and . EMNLP (1), page 1801-1813. Association for Computational Linguistics, (2021)Hyperdecoders: Instance-specific decoders for multi-task NLP., and . EMNLP (Findings), page 1715-1730. Association for Computational Linguistics, (2022)Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples., , and . ACL (1), page 1190-1199. Association for Computational Linguistics, (2018)FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning., , , , and . ACL (1), page 8158-8185. Association for Computational Linguistics, (2023)Extracting Latent Steering Vectors from Pretrained Language Models., , and . ACL (Findings), page 566-581. Association for Computational Linguistics, (2022)Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering., , , , and . ACL (1), page 1970-1989. Association for Computational Linguistics, (2023)