🔗 Who cites «Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above»

23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above»

1. Language Models Fail to Introspect About Their Knowledge of LanguagearXiv:2503.07513Siyuan Song, Jennifer Hu, Kyle Mahowald2025 · 9 citations
2. Stable and Explainable Personality Trait Evaluation in Large Language Models with Internal ActivationsFindings of the Association for Computational LinguisticsXiaoxu Ma, Xiangbo Zhang, Zhenyu Weng2026 · 8 citations
3. Mind the Gap: How Elicitation Protocols Shape the Stated-Revealed Preference Gap in Language ModelsWorkshop on Evaluating Evaluations (EvalEval)Pranav Mahajan, Ihor Kendiukhov, Syed Hussain, et al.2026 · 1 citation
4. Common to Whom? Regional Cultural Commonsense and LLM Bias in IndiaAnnual Meeting of the Association for Computational Linguistics (ACL)Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, et al.2026
5. ORCA: Open-ended Response Correctness Assessment for Audio Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Šimon Sedláček, Sara Barahona, Cecilia Bolaños, et al.2026
6. The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for ShortcutsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sangmitra Madhusudan, Kaige Chen, Ali Emami2026
7. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026

16 more papers of our library cite it; they have no page here yet.

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