---
title: "Who cites Measuring and Modifying Factual — 13 citing papers"
description: "13 papers of the Elamur Research library cite «Measuring and Modifying Factual Knowledge in Large Language Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/pezeshkpour-2023-measuring-modifying-factual-knowledge-large/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Measuring and Modifying Factual Knowledge in…](https://md.research.elamur.ai/free/en/papers/pezeshkpour-2023-measuring-modifying-factual-knowledge-large/) / cited by

# Who cites «Measuring and Modifying Factual Knowledge in Large Language Models»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Measuring and Modifying Factual Knowledge in Large Language Models»](https://md.research.elamur.ai/free/en/papers/pezeshkpour-2023-measuring-modifying-factual-knowledge-large/)

1. **[Survey of Hallucination in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,974 citations*
2. **[A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Yupeng Chang, Xu Wang, Jindong Wang, et al.*2023 · 3,648 citations*
3. [**Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity arXiv:2310.07521**Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/)
4. **[Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency](https://md.research.elamur.ai/free/en/papers/xu-2026-illusions-confidence-diagnosing-llm-truthfulness/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoming Xu, Ningyuan Zhao, Yunzhi Yao, 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/pezeshkpour-2023-measuring-modifying-factual-knowledge-large/) — Measuring and Modifying Factual Knowledge in Large Language Models