--- title: "Who cites PoisonedRAG: Knowledge — 67 citing papers" description: "67 papers of the Elamur Research library cite «PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large…" canonical: "https://research.elamur.ai/free/en/papers/zou-2024-poisonedrag-knowledge-corruption-attacks-retrieval/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zou-2024-poisonedrag-knowledge-corruption-attacks-retrieval/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [PoisonedRAG: Knowledge Corruption Attacks to…](https://md.research.elamur.ai/free/en/papers/zou-2024-poisonedrag-knowledge-corruption-attacks-retrieval/) / cited by # Who cites «PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models» 67 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← back to «PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models»](https://md.research.elamur.ai/free/en/papers/zou-2024-poisonedrag-knowledge-corruption-attacks-retrieval/) 1. **[A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/fan-2024-survey-rag-meeting-llms-towards/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li*2024 · 1,010 citations* 2. [**Retrieval-Augmented Generation with Graphs (GraphRAG) arXiv:2501.00309**Haoyu Han, Yu Wang, Harry Shomer, et al.*2025 · 87 citations*](https://md.research.elamur.ai/free/en/papers/han-2025-retrieval-augmented-generation-graphs-graphrag/) 3. **[Retrieval-Augmented Generation for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/wu-2024-retrieval-augmented-generation-natural-language/) [Artificial Intelligence Review](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/)**Shangyu Wu, Ying Xiong, Yufei Cui, et al.*2024 · 86 citations* 4. **[Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-astute-rag-overcoming-imperfect-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Wang, Xingchen Wan, Ruoxi Sun, et al.*2025 · 59 citations* 5. **[Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?](https://md.research.elamur.ai/free/en/papers/tan-2024-blinded-generated-contexts-how-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Fei Sun, Wanli Yang, et al.*2024 · 37 citations* 6. [**StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows arXiv:2403.11322**Yiran Wu, Tianwei Yue, Shaokun Zhang, et al.*2024 · 25 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-stateflow-enhancing-llm-task-solving/) 7. **[False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize](https://md.research.elamur.ai/free/en/papers/wang-2026-false-sense-security-why-probing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Wang, Zeming Wei, Qin Liu, et al.*2026 · 5 citations* 8. **[Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption](https://md.research.elamur.ai/free/en/papers/liu-2026-position-llm-watermarking-should-align/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yepeng Liu, Xuandong Zhao, Dawn Song, et al.*2026 · 2 citations* 9. **[Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/ren-2026-context-attended-adversarial-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.*2026 · 1 citation* 10. **[Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG](https://md.research.elamur.ai/free/en/papers/triantafyllopoulos-2026-knowing-when-not-answer-lightweight/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, et al.*2026 · 1 citation* 11. **[LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/xiao-2026-logicpoison-logical-attacks-graph-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilin Xiao, Jin Chen, Qinggang Zhang, et al.*2026 · 1 citation* 12. **[Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG Systems](https://md.research.elamur.ai/free/en/papers/namboothiri-2026-authorization-first-retrieval-enforcing-least/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Rohith Namboothiri*2026* 13. **[Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-explicit-refusals-soft-failure/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wentao Zhang, Yan Zhuang, ZhuHang Zheng, et al.*2026* 14. **[FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models](https://md.research.elamur.ai/free/en/papers/weng-2026-finesteer-unified-framework-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Weng, Jinghuai Zhang, Kunlin Cai, et al.*2026* 15. **[How Adversarial Environments Mislead Agentic AI?](https://md.research.elamur.ai/free/en/papers/zhan-2026-how-adversarial-environments-mislead-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.*2026* 16. **[Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-knowledge-poisoning-attacks-medical-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peiru Yang, Haoran Zheng, Tong Ju, et al.*2026* 17. **[PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption](https://md.research.elamur.ai/free/en/papers/tan-2026-pra-rag-provably-robust-aggregation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xue Tan, Yi Zheng, Chang Huo, et al.*2026* 18. **[RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xi-2026-riprag-hack-black-box-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meng Xi, Sihan Lv, Yechen Jin, et al.*2026* 19. **[Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents](https://md.research.elamur.ai/free/en/papers/mao-2026-stop-fixating-prompts-reasoning-hijacking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanxu Mao, Peipei Liu, Tiehan Cui, et al.*2026* 48 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zou-2024-poisonedrag-knowledge-corruption-attacks-retrieval/) — PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models