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Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy.

, , , , and . EMNLP, page 8392-8417. Association for Computational Linguistics, (2023)

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On Adversarial Search Spaces and Sampling-Based Planning., , and . ICAPS, page 242-245. AAAI, (2010)LILA: A Unified Benchmark for Mathematical Reasoning., , , , , , , , , and 1 other author(s). EMNLP, page 5807-5832. Association for Computational Linguistics, (2022)Approximating the Permanent by Sampling from Adaptive Partitions., , , , and . NeurIPS, page 8858-8869. (2019)Probing Natural Language Inference Models through Semantic Fragments., , , and . AAAI, page 8713-8721. AAAI Press, (2020)Model Counting: A New Strategy for Obtaining Good Bounds., , and . AAAI, page 54-61. AAAI Press, (2006)Closing the Gap Between Short and Long XORs for Model Counting., , , and . AAAI, page 3322-3329. AAAI Press, (2016)Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models., , , , and . NAACL-HLT, page 1264-1279. Association for Computational Linguistics, (2021)AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples., , , and . ACL (1), page 2418-2428. Association for Computational Linguistics, (2018)Adaptive Hashing for Model Counting., , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 271-280. AUAI Press, (2019)Survey Propagation Revisited., , and . UAI, page 217-226. AUAI Press, (2007)