---
title: "Who cites Which of These Best Describes — 23 citing papers"
description: "23 papers of the Elamur Research library cite «Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed…"
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# 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»](https://md.research.elamur.ai/free/en/papers/balepur-2025-which-these-best-describes-multiple/)

1. [**Language Models Fail to Introspect About Their Knowledge of Language arXiv:2503.07513**Siyuan Song, Jennifer Hu, Kyle Mahowald*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/song-2025-language-models-fail-introspect-about/)
2. **[Stable and Explainable Personality Trait Evaluation in Large Language Models with Internal Activations](https://md.research.elamur.ai/free/en/papers/ma-2026-stable-explainable-personality-trait-evaluation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoxu Ma, Xiangbo Zhang, Zhenyu Weng*2026 · 8 citations*
3. **[Mind the Gap: How Elicitation Protocols Shape the Stated-Revealed Preference Gap in Language Models](https://md.research.elamur.ai/free/en/papers/mahajan-2026-mind-gap-how-elicitation-protocols/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Pranav Mahajan, Ihor Kendiukhov, Syed Hussain, et al.*2026 · 1 citation*
4. **[Common to Whom? Regional Cultural Commonsense and LLM Bias in India](https://md.research.elamur.ai/free/en/papers/madhusudan-2026-common-whom-regional-cultural-commonsense/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, et al.*2026*
5. **[ORCA: Open-ended Response Correctness Assessment for Audio Question Answering](https://md.research.elamur.ai/free/en/papers/sedlacek-2026-orca-open-ended-response-correctness/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/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 Shortcuts](https://md.research.elamur.ai/free/en/papers/madhusudan-2026-dog-cat-chased-stumped-model/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sangmitra Madhusudan, Kaige Chen, Ali Emami*2026*
7. **[Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation](https://md.research.elamur.ai/free/en/papers/ma-2026-too-open-opinion-embracing-open/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Bolei Ma, Yong Cao, Indira Sen, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/balepur-2025-which-these-best-describes-multiple/) — Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above