Who cites «Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?»
- Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
- Specializing Large Language Models to Simulate Survey Response Distributions for Global PopulationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yong Cao, Haijiang Liu, Arnav Arora, et al.2025 · 23 citations
- U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsarXiv:2412.03205Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, et al.2024 · 13 citations
- Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect VariantsLanguage Resources and Evaluation Conference (LREC)Hunzalah Hassan Bhatti, Firoj Alam2026 · 3 citations
- Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?Annual Meeting of the Association for Computational Linguistics (ACL)Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi, et al.2026 · 2 citations
- Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.2026
- Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Wang, Yuk-Kit Chan, Zixuan Ling, et al.2026
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