🔗 Who cites «RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation»

74 papers of our library cite it (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← back to «RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation»

1. LightRAG: Simple and Fast Retrieval-Augmented GenerationarXiv:2410.05779Zirui Guo, Lianghao Xia, Yanhua Yu, et al.2024 · 316 citations
2. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
3. ReSearch: Learning to Reason with Search for LLMs via Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Mingyang Chen, Linzhuang Sun, Tianpeng Li, et al.2025 · 99 citations
4. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation ResearcharXiv:2405.13576Jiajie Jin, Yutao Zhu, Guanting Dong, et al.2024 · 77 citations
5. Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiajie Jin, Xiaoxi Li, Guanting Dong, et al.2025 · 25 citations
6. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
7. RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Wanlong Liu, Junying Chen, Ke Ji, et al.2025 · 19 citations
8. SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementConference on Empirical Methods in Natural Language Processing (EMNLP)Chelsi Jain, Yiran Wu, Yifan Zeng, et al.2025 · 16 citations
9. DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuoqun Li, Haiyang Yu, Xuanang Chen, et al.2025 · 10 citations
10. RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented GenerationInternational Conference on Computational Linguistics (COLING)Shuting Wang, Xin Yu, Mang Wang, et al.2025 · 10 citations
11. ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Zhou, Hang Ding, Haiyun Jiang2026 · 3 citations
12. ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Akshay Verma, Swapnil Gupta, Siddharth Pillai, et al.2026 · 3 citations
13. Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsYingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.2026 · 1 citation
14. MemoBrain: Executive Memory as an Agentic Brain for ReasoningFindings of the Association for Computational LinguisticsHongjin Qian, Zhao Cao, Zheng Liu2026 · 1 citation
15. Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengyi Zhao, Shubo Zhang, Zezhong Wang, et al.2026
16. KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiao Zhang, Qianru Meng, Yongjian Chen, et al.2026
17. MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXingchen Xiao, Heyan Huang, Runheng Liu, et al.2026
18. NEST: Nested Evidence Survival for RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Akshay Verma, Siddharth Pillai, Prateek Sircar, et al.2026
19. Structure Guided Retrieval-Augmented Generation for Factual QueriesAnnual Meeting of the Association for Computational Linguistics (ACL)Miao Xie, Xiao Zhang, Yi Li, et al.2026
20. Test-Time Strategies for More Efficient and Accurate Agentic RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Abhinav Sharma, Brian Zhang, Deepti Guntur, et al.2026
21. The Structure-Content Trade-off in Knowledge Graph Retrieval: A Diagnostic Study of Question DecompositionKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Valentin Six, Gaël de Chalendar, Evan Dufraisse2026
22. Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)Journal of SoftwareQuanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.2025

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

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