---
title: "Who cites Beyond Prompt Brittleness: — 29 citing papers"
description: "29 papers of the Elamur Research library cite «Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews…"
canonical: "https://research.elamur.ai/free/en/papers/ceron-2024-beyond-prompt-brittleness-evaluating-reliability/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Beyond Prompt Brittleness: Evaluating the…](https://md.research.elamur.ai/free/en/papers/ceron-2024-beyond-prompt-brittleness-evaluating-reliability/) / cited by

# Who cites «Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs»

29 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 «Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs»](https://md.research.elamur.ai/free/en/papers/ceron-2024-beyond-prompt-brittleness-evaluating-reliability/)

1. **[Measuring Political Bias in Large Language Models: What Is Said and How It Is Said](https://md.research.elamur.ai/free/en/papers/bang-2024-measuring-political-bias-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yejin Bang, Delong Chen, Nayeon Lee, et al.*2024 · 76 citations*
2. **[Benchmarking Distributional Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/meister-2025-benchmarking-distributional-alignment-large-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto*2025 · 35 citations*
3. **[Framing Political Bias in Multilingual LLMs Across Pakistani Languages](https://md.research.elamur.ai/free/en/papers/nadeem-2026-framing-political-bias-multilingual-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Afrozah Nadeem, Mark Dras, Usman Naseem*2026 · 4 citations*
4. **[\textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM Personalization](https://md.research.elamur.ai/free/en/papers/weeber-2026-textitone-persona-textitmany-cues-textitdifferent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Franziska Weeber, Vera Neplenbroek, Jan Batzner, et al.*2026*
5. **[Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs](https://md.research.elamur.ai/free/en/papers/williams-2026-beyond-marginal-distributions-framework-evaluate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tristan Williams, Franziska Weeber, Sebastian Padó, et al.*2026*
6. **[Medical Summarization in Practice: Design, Deployment, and Analysis of a Clinical Summarization System for a German Hospital](https://md.research.elamur.ai/free/en/papers/rauf-2026-medical-summarization-practice-design-deployment/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Moiz Rauf, Sean Papay*2026*
7. **[Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment](https://md.research.elamur.ai/free/en/papers/pandita-2026-thesis-proposal-human-centered-perspective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deepak Pandita, Christopher M. Homan*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ceron-2024-beyond-prompt-brittleness-evaluating-reliability/) — Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs
