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A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation.

, , , and . CoNLL, page 403-413. Association for Computational Linguistics, (2023)

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Supervised Learning of Complete Morphological Paradigms., and . HLT-NAACL, page 1185-1195. The Association for Computational Linguistics, (2013)Annotating and Modeling Fine-grained Factuality in Summarization., and . NAACL-HLT, page 1449-1462. Association for Computational Linguistics, (2021)Effective Use of Context in Noisy Entity Linking., and . EMNLP, page 1024-1029. Association for Computational Linguistics, (2018)The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning., and . NeurIPS, (2022)Shortcomings of Question Answering Based Factuality Frameworks for Error Localization., , and . EACL, page 132-146. Association for Computational Linguistics, (2023)Complementary Explanations for Effective In-Context Learning., , , , , and . ACL (Findings), page 4469-4484. Association for Computational Linguistics, (2023)Byte Pair Encoding is Suboptimal for Language Model Pretraining., and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4617-4624. Association for Computational Linguistics, (2020)Calibration of Pre-trained Transformers., and . EMNLP (1), page 295-302. Association for Computational Linguistics, (2020)Coeditor: Leveraging Repo-level Diffs for Code Auto-editing., , and . ICLR, OpenReview.net, (2024)D2PO: Discriminator-Guided DPO with Response Evaluation Models., , , , and . CoRR, (2024)