---
title: "Who cites Improving Contextual Faithfulness — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced…"
canonical: "https://research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Improving Contextual Faithfulness of Large…](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/) / cited by

# Who cites «Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization»](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/)

1. **[FaithLens: Detecting and Explaining Faithfulness Hallucination](https://md.research.elamur.ai/free/en/papers/si-2026-faithlens-detecting-explaining-faithfulness-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuzheng Si, Qingyi Wang, Haozhe Zhao, et al.*2026 · 1 citation*
2. **[When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors](https://md.research.elamur.ai/free/en/papers/yang-2026-when-llms-read-tables-carelessly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuqing Yang, Qi Zhu, Zhen Han, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/) — Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
