---
title: "Who cites “My Answer is C”: First-Token — 74 citing papers"
description: "74 papers of the Elamur Research library cite «“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2024-my-answer-is-c-first/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wang-2024-my-answer-is-c-first/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [“My Answer is C”: First-Token Probabilities Do…](https://md.research.elamur.ai/free/en/papers/wang-2024-my-answer-is-c-first/) / cited by

# Who cites «“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models»

74 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models»](https://md.research.elamur.ai/free/en/papers/wang-2024-my-answer-is-c-first/)

1. [**XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models arXiv:2308.01263**Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.*2023 · 227 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/) **[Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models](https://md.research.elamur.ai/free/en/papers/rottger-2024-political-compass-or-spinning-arrow/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.*2024 · 134 citations* [**Do Large Language Models Understand Word Senses?**Domenico Meconi, Simone Stirpe, Federico Martelli*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/meconi-2025-llms-word-senses/) **[R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schelb, Orr Borin, David Garcia, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2024-my-answer-is-c-first/) — “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models