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Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering., , , , и . ACL (1), стр. 1970-1989. Association for Computational Linguistics, (2023)HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation., , , , и . ACL (1), стр. 11272-11288. Association for Computational Linguistics, (2023)Explaining NLP Models via Minimal Contrastive Editing (MiCE)., , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 3840-3852. Association for Computational Linguistics, (2021)Extracting Latent Steering Vectors from Pretrained Language Models., , и . ACL (Findings), стр. 566-581. Association for Computational Linguistics, (2022)OLMo: Accelerating the Science of Language Models., , , , , , , , , и 33 other автор(ы). CoRR, (2024)Explaining NLP Models via Minimal Contrastive Editing (MiCE)., , и . CoRR, (2020)TESS: Text-to-Text Self-Conditioned Simplex Diffusion., , , , , , и . EACL (1), стр. 2347-2361. Association for Computational Linguistics, (2024)AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models., , , и . EACL (Findings), стр. 2009-2018. Association for Computational Linguistics, (2023)CDLM: Cross-Document Language Modeling., , , , , и . EMNLP (Findings), стр. 2648-2662. Association for Computational Linguistics, (2021)Competency Problems: On Finding and Removing Artifacts in Language Data., , , , , , и . EMNLP (1), стр. 1801-1813. Association for Computational Linguistics, (2021)