🔗 Who cites «FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research»

68 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 «FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research»

1. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
2. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 141 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. RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Kunlun Zhu, Yifan Luo, Dingling Xu, et al.2025 · 34 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. Removal of Hallucination on Hallucination: Debate-Augmented RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Hu, Wengyu Zhang, Yiyang Jiang, et al.2025 · 25 citations
7. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Zhongxiang Sun, Qipeng Wang, Weijie Yu, et al.2025 · 22 citations
8. DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Rong Cheng, Jinyi Liu, Yan Zheng, et al.2025 · 20 citations
9. 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
10. RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoxi Li, Jiajie Jin, Yujia Zhou, et al.2025 · 19 citations
11. RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Jiajie Jin, Xiaoxi Li, et al.2025 · 14 citations
12. Progressive Multimodal Reasoning via Active RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Chenghao Zhang, Mengjie Deng, et al.2025 · 10 citations
13. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningFindings of the Association for Computational LinguisticsQingfei Zhao, Ruobing Wang, Dingling Xu, et al.2026 · 7 citations
14. 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
15. Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language ModelsFindings of the Association for Computational LinguisticsCan Xu, Lingyong Yan, Jiayi Wu, et al.2026
16. D²Plan: Dual-Agent Dynamic Global Planning for Complex Retrieval-Augmented ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Kangcheng Luo, Tinglang Wu, Yansong Feng2026
17. HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Shen, Jiyuan Liu, Yunhe Pang, et al.2026
18. Over-Searching in Search-Augmented Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Roy Xie, Deepak Gopinath, David Qiu, et al.2026
19. R^3AG: Retriever Routing for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhao, Yutao Zhu, Yucheng Tian, et al.2026
20. Reinforcing Agentic Search Via Reward Density OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Luo, Hongjin Qian, Zheng Liu, et al.2026
21. Structured Dialogue Refinement: Building Retrieval-Augmented Question Answering on Goal-Oriented DialoguesFindings of the Association for Computational LinguisticsBin Wu, Sawan Kumar, Prasetya Ajie Utama, et al.2026
22. When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lin Sun, Wangdexian, Jingang Huang, et al.2026

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/jin-2024-flashrag-modular-toolkit-efficient-retrieval/cited-by/