---
title: "Who cites FactBench: A Dynamic — 14 citing papers"
description: "14 papers of the Elamur Research library cite «FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation»…"
canonical: "https://research.elamur.ai/free/en/papers/bayat-2025-factbench-dynamic-benchmark-wild-language/cited-by/"
---
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# Who cites «FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation»](https://md.research.elamur.ai/free/en/papers/bayat-2025-factbench-dynamic-benchmark-wild-language/)

1. **[Towards Effective Extraction and Evaluation of Factual Claims](https://md.research.elamur.ai/free/en/papers/metropolitansky-2025-effective-extraction-evaluation-factual-claims/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dasha Metropolitansky, Jonathan Larson*2025 · 20 citations*
2. **[VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking](https://md.research.elamur.ai/free/en/papers/rothermel-2026-veritas-first-dynamic-benchmark-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mark Rothermel, Marcus Kornmann, Marcus Rohrbach, et al.*2026 · 3 citations*
3. **[A Survey of Large Language Model-Based Search Agents](https://md.research.elamur.ai/free/en/papers/xi-2026-survey-large-language-model-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.*2026*
4. **[Assessing Web Search Credibility and Response Groundedness in Chat Assistants](https://md.research.elamur.ai/free/en/papers/vykopal-2026-assessing-web-search-credibility-response/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ivan Vykopal, Matúš Pikuliak, Simon Ostermann, et al.*2026*
5. **[PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage](https://md.research.elamur.ai/free/en/papers/nakka-2026-pii-jailbreaking-llms-activation-steering/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Krishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/bayat-2025-factbench-dynamic-benchmark-wild-language/) — FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation