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Query Rewriting for Effective Misinformation Discovery.

, , , , , , and . IJCNLP (1), page 398-407. Association for Computational Linguistics, (2023)

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A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models., , , , , , , , , and 12 other author(s). CoRR, (2023)You Are What You Annotate: Towards Better Models through Annotator Representations., , , , , and . EMNLP (Findings), page 12475-12498. Association for Computational Linguistics, (2023)Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions., , , , and . CoRR, (2021)Tables as Images? Exploring the Strengths and Limitations of LLMs on Multimodal Representations of Tabular Data., , , , , , , and . CoRR, (2024)Enhancing Long-form Text Generation Efficacy with Task-adaptive Tokenization., , , , , and . CoRR, (2023)Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond., , , , , and . EMNLP, page 15264-15281. Association for Computational Linguistics, (2023)Query Rewriting for Effective Misinformation Discovery., , , , , , and . IJCNLP (1), page 398-407. Association for Computational Linguistics, (2023)WildQA: In-the-Wild Video Question Answering., , , , and . CoRR, (2022)In-the-Wild Video Question Answering., , , , and . COLING, page 5613-5635. International Committee on Computational Linguistics, (2022)Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect., , and . COLING, page 2166-2187. International Committee on Computational Linguistics, (2022)