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Quality and Relevance Metrics for Selection of Multimodal Pretraining Data.

, , , , , and . CVPR Workshops, page 4109-4116. Computer Vision Foundation / IEEE, (2020)

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Teaching Machines to Ask Useful Clarification Questions.. University of Maryland, College Park, MD, USA, (2018)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/22161).Investigating Agency of LLMs in Human-AI Collaboration Tasks., , , , , and . EACL (1), page 1968-1987. Association for Computational Linguistics, (2024)Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions.. ACL (Student Research Workshop), page 30-35. Association for Computational Linguistics, (2017)A study of the geographic distribution and associated risk factors of leg ulcers within an international cohort of sickle cell disease patients: the CASiRe group analysis, , , , , , , , , and 13 other author(s). Annals of Hematology, 99 (9): 2073--2079 (Sep 1, 2020)Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task., , , and . CoRR, (2017)Quality and Relevance Metrics for Selection of Multimodal Pretraining Data., , , , , and . CVPR Workshops, page 4109-4116. Computer Vision Foundation / IEEE, (2020)Dialogue focus tracking for zero pronoun resolution., , , and . HLT-NAACL, page 494-503. The Association for Computational Linguistics, (2015)Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge., , , and . NAACL-HLT, page 4300-4312. Association for Computational Linguistics, (2021)Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer., and . NAACL-HLT, page 129-140. Association for Computational Linguistics, (2018)Answer-based Adversarial Training for Generating Clarification Questions., and . NAACL-HLT (1), page 143-155. Association for Computational Linguistics, (2019)