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Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering., and . NAACL-HLT, page 5856-5865. Association for Computational Linguistics, (2021)How Well Do Large Language Models Truly Ground?, , , , , , and . CoRR, (2023)Prometheus: Inducing Fine-grained Evaluation Capability in Language Models., , , , , , , , , and 1 other author(s). CoRR, (2023)ClaimDiff: Comparing and Contrasting Claims on Contentious Issues., , , , , and . ACL (Findings), page 4711-4731. Association for Computational Linguistics, (2023)Fixed Input Parameterization for Efficient Prompting., , , , and . ACL (Findings), page 8428-8441. Association for Computational Linguistics, (2023)EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records., , , , , , , , and . NeurIPS, (2022)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , and 43 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 86-111. PMLR, (2020)On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning., and . CoRR, (2024)The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models., , , , , , , , , and 22 other author(s). CoRR, (2024)SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs., , , , , , , and . CoRR, (2024)