🔗 Who cites «The Power of Noise: Redefining Retrieval for RAG Systems»

97 papers of our library cite it (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · ← back to «The Power of Noise: Redefining Retrieval for RAG Systems»

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
3. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
4. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 271 citations
5. Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Wang, Xingchen Wan, Ruoxi Sun, et al.2025 · 59 citations
6. REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Wang, Ruiyang Ren, Junyi Li, et al.2024 · 55 citations
7. Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qianchi Zhang, Hainan Zhang, Liang Pang, et al.2026 · 27 citations
8. TC–RAG: Turing–Complete RAG's Case study on Medical LLM SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinke Jiang, Yue Fang, Rihong Qiu, et al.2025 · 25 citations
9. The Distracting Effect: Understanding Irrelevant Passages in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Amiraz, Florin Cuconasu, Simone Filice, et al.2025 · 21 citations
10. Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Shuai Zhang, Feihu Che, et al.2025 · 19 citations
11. LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationInternational Conference on Computational Linguistics (COLING)Keheng Wang, Feiyu Duan, Peiguang Li, et al.2025 · 14 citations
12. How Much Can RAG Help the Reasoning of LLM?arXiv:2410.02338Jingyu Liu, Jiaen Lin, Yong Liu2024 · 13 citations
13. SelfElicit: Your Language Model Secretly Knows Where is the Relevant EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, et al.2025 · 11 citations
14. Towards Context-Robust LLMs: A Gated Representation Fine-tuning ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Pengfei He, Kai Guo, et al.2025 · 5 citations
15. Test-time Corpus Feedback: From Retrieval to RAGFindings of the Association for Computational LinguisticsMandeep Rathee, Venktesh V, Sean MacAvaney, et al.2026 · 4 citations
16. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsDehai Min, Kailin Zhang, Tongtong Wu, et al.2026 · 2 citations
17. ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition ModelingFindings of the Association for Computational LinguisticsZhipeng Xu, Zhenghao Liu, Yukun Yan, et al.2026 · 2 citations
18. Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, et al.2026 · 1 citation
19. Redefining Retrieval Evaluation in the Era of LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Giovanni Trappolini, Florin Cuconasu, Simone Filice, et al.2026 · 1 citation
20. ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn DialogueFindings of the Association for Computational LinguisticsJiawei Shen, Jia Zhu, Hanghui Guo, et al.2026
21. Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.2026
22. MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation EvaluationWorkshop on Multimodal Augmented Generation via Multimodal RetrievalZehang Wei, JiaXin Dai, Jiamin Yan, et al.2026
23. Structured Episodic Event MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxuan Lu, Dongfang Li, Yukun Shi, et al.2026
24. Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19Joint Conference on Lexical and Computational Semantics (*SEM)Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, et al.2026

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