---
title: "Who cites Factuality of Large Language Models: A Survey"
description: "40 papers of the Elamur Research library cite «Factuality of Large Language Models: A Survey», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/wang-2024-factuality-large-language-models-survey/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Factuality of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2024-factuality-large-language-models-survey/) / cited by

# Who cites «Factuality of Large Language Models: A Survey»

40 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Factuality of Large Language Models: A Survey»](https://md.research.elamur.ai/free/en/papers/wang-2024-factuality-large-language-models-survey/)

1. [**Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models arXiv:2412.15265**Yingshui Tan, Boren Zheng, Baihui Zheng, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/)
2. **[KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking](https://md.research.elamur.ai/free/en/papers/lourenco-2026-kg-craft-knowledge-graph-based/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vítor Lourenço, Aline Paes, Tillman Weyde, et al.*2026 · 2 citations*
3. **[MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-mr-align-meta-reasoning-informed/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinming Wang, Jian Xu, Bin Yu, et al.*2026 · 2 citations*
4. **[Don't Click That: Teaching Web Agents to Resist Deceptive Interfaces](https://md.research.elamur.ai/free/en/papers/zhang-2026-don-t-click-that-teaching/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilin Zhang, Yingkai Hua, Chunyu Wei, et al.*2026 · 1 citation*
5. **[A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoE](https://md.research.elamur.ai/free/en/papers/zhou-2026-data-efficient-path-multilingual-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Zhou, Tianhao Li, Zhijun Wang, et al.*2026*
6. **[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*
7. **[Integrating AI into Arabic Linguistics: A Methodological Framework for Reproducible and Interpretable Research](https://md.research.elamur.ai/free/en/papers/akzam-2026-integrating-ai-arabic-linguistics-methodological/) [Al-Ta rib Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka Raya](https://md.research.elamur.ai/free/en/venues/al-ta-rib-jurnal-ilmiah-program-studi-pendidikan-bahasa-arab-iain-palangka-raya/)**Ismail Akzam, Mohammad Ikhwan Bin Abdullah*2026*
8. **[Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale](https://md.research.elamur.ai/free/en/papers/liu-2026-systematic-evaluation-quality-synthetic-clinical/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Jinghui Liu, Sarvesh Soni, Anthony Nguyen*2026*
9. **[Towards the First NLP Benchmark for Ladin - an Extremely Low-Resource Language](https://md.research.elamur.ai/free/en/papers/nuha-2026-first-nlp-benchmark-ladin-extremely/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ulin Nuha, Adam Jatowt*2026*

31 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-factuality-large-language-models-survey/) — Factuality of Large Language Models: A Survey