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The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers.

, , , , , , and . ACL (1), page 10406-10420. Association for Computational Linguistics, (2023)

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Improving Cross-lingual Transfer through Subtree-aware Word Reordering., , , and . EMNLP (Findings), page 718-736. Association for Computational Linguistics, (2023)TUPA at MRP 2019: A Multi-Task Baseline System., and . CoNLL Shared Task, page 28-39. Association for Computational Linguistics, (2019)On the Relation between Syntactic Divergence and Zero-Shot Performance., , , and . EMNLP (1), page 4803-4817. Association for Computational Linguistics, (2021)Genie: Achieving Human Parity in Content-Grounded Datasets Generation., , , , , , , and . CoRR, (2024)Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI., , , , , , , , , and 2 other author(s). CoRR, (2024)Zero-shot Topical Text Classification with LLMs - an Experimental Study., , , , , , , , , and 1 other author(s). EMNLP (Findings), page 9647-9676. Association for Computational Linguistics, (2023)Efficient Benchmarking (of Language Models)., , , , , , , , and . CoRR, (2023)Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences., , , , , , and . ACL, page 1159-1176. Association for Computational Linguistics, (2020)HUJI-KU at MRP 2020: Two Transition-based Neural Parsers., , and . CoNLL Shared Task, page 73-82. Association for Computational Linguistics, (2020)The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers., , , , , , and . ACL (1), page 10406-10420. Association for Computational Linguistics, (2023)