---
title: "Who cites Can Knowledge Graphs Make — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study…"
canonical: "https://research.elamur.ai/free/en/papers/sui-2025-can-knowledge-graphs-make-large/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can Knowledge Graphs Make Large Language Models…](https://md.research.elamur.ai/free/en/papers/sui-2025-can-knowledge-graphs-make-large/) / cited by

# Who cites «Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering»

10 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 «Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering»](https://md.research.elamur.ai/free/en/papers/sui-2025-can-knowledge-graphs-make-large/)

1. **[Can Indirect Prompt Injection Attacks Be Detected and Removed?](https://md.research.elamur.ai/free/en/papers/chen-2025-can-indirect-prompt-injection-attacks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulin Chen, Haoran Li, Yuan Sui, et al.*2025 · 30 citations*
2. **[Defense Against Prompt Injection Attack by Leveraging Attack Techniques](https://md.research.elamur.ai/free/en/papers/chen-2025-defense-against-prompt-injection-attack/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulin Chen, Haoran Li, Zihao Zheng, et al.*2025 · 24 citations*
3. **[Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/sui-2026-meta-reasoner-dynamic-guidance-optimized/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuan Sui, Yufei He, Tri Cao, et al.*2026 · 13 citations*
4. **[Iterative Knowledge Graph Refinement and Integration for Medical Question Answering](https://md.research.elamur.ai/free/en/papers/zou-2026-iterative-knowledge-graph-refinement-integration/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haochen Zou, Yongli Wang*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/sui-2025-can-knowledge-graphs-make-large/) — Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering