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Who cites «Active Retrieval Augmented Generation»

410 papers of our library cite it (of the 149,439 whose bibliographies we read) · 122 with a page here, the most cited first · page 1 of 2 · 1–100 · ← back to «Active Retrieval Augmented Generation»

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  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. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  3. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
  4. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  5. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM 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 Li2024 · 1,010 citations
  6. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionarXiv:2310.11511Akari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 677 citations
  7. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  8. Enabling Large Language Models to Generate Text with CitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 485 citations
  9. Benchmarking Retrieval-Augmented Generation for MedicineFindings of the Association for Computational LinguisticsGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 430 citations
  10. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyarXiv:2305.15294Zhihong Shao, Yeyun Gong, Yelong Shen, et al.2023 · 383 citations
  11. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexityConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.2024 · 382 citations
  12. 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
  13. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
  14. Chain-of-Verification Reduces Hallucination in Large Language ModelsarXiv:2309.11495Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, et al.2023 · 305 citations
  15. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  16. Corrective Retrieval Augmented GenerationarXiv:2401.15884Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 273 citations
  17. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
  18. Fine-Tuning LLaMA for Multi-Stage Text RetrievalInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Xueguang Ma, Liang Wang, Nan Yang, et al.2023 · 257 citations
  19. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  20. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
  21. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 195 citations
  22. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  23. LawBench: Benchmarking Legal Knowledge of Large Language ModelsarXiv:2309.16289Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 186 citations
  24. A-MEM: Agentic Memory for LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Wujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 178 citations
  25. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  26. Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsBioinformaticsMinbyul Jeong, Jiwoong Sohn, Mujeen Sung, et al.2024 · 164 citations
  27. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
  28. Dense X Retrieval: What Retrieval Granularity Should We Use?Conference on Empirical Methods in Natural Language Processing (EMNLP)Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
  29. DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihang Su, Yichen Tang, Qingyao Ai, et al.2024 · 137 citations
  30. Self-Knowledge Guided Retrieval Augmentation for Large Language ModelsFindings of the Association for Computational LinguisticsYile Wang, Peng Li, Maosong Sun, et al.2023 · 135 citations
  31. Assisting in Writing Wikipedia-like Articles From Scratch with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yijia Shao, Yucheng Jiang, Theodore Kanell, et al.2024 · 131 citations
  32. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  33. PaperQA: Retrieval-Augmented Generative Agent for Scientific ResearcharXiv:2312.07559Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, et al.2023 · 109 citations
  34. A Survey of Confidence Estimation and Calibration in Large Language ModelsarXiv:2311.08298Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.2023 · 97 citations
  35. AutoSurvey: Large Language Models Can Automatically Write SurveysConference on Neural Information Processing Systems (NeurIPS)Yidong Wang, Qi Guo, Wenjin Yao, et al.2024 · 91 citations
  36. Learning to Filter Context for Retrieval-Augmented GenerationarXiv:2311.08377Zhiruo Wang, Jun Araki, Zhengbao Jiang, et al.2023 · 88 citations
  37. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
  38. Knowledge Graph Retrieval-Augmented Generation for LLM-based RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Shijie Wang, Wenqi Fan, Yue Feng, et al.2025 · 77 citations
  39. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation ResearcharXiv:2405.13576Jiajie Jin, Yutao Zhu, Guanting Dong, et al.2024 · 77 citations
  40. Physics of Language Models: Part 3.2, Knowledge ManipulationarXiv:2309.14402Zeyuan Allen-Zhu, Yuanzhi Li2023 · 72 citations
  41. MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, et al.2025 · 65 citations
  42. Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengliang Shi, Shuo Zhang, Weiwei Sun, et al.2024 · 65 citations
  43. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsarXiv:2411.14199Akari Asai, Jacqueline He, Rulin Shao, et al.2024 · 62 citations
  44. 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
  45. SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Zijun Yao, Weijian Qi, Liangming Pan, et al.2025 · 52 citations
  46. ZeroSearch: Incentivize the Search Capability of LLMs without SearchingarXiv:2505.04588Hao Sun, Zile Qiao, Jiayan Guo, et al.2025 · 50 citations
  47. Resolving Knowledge Conflicts in Large Language ModelsarXiv:2310.00935Yike Wang, Shangbin Feng, Heng Wang, et al.2023 · 48 citations
  48. Improving Retrieval Augmented Language Model with Self-ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYuan Xia, Jingbo Zhou, Zhenhui Shi, et al.2024 · 32 citations
  49. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
  50. BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting EvidenceFindings of the Association for Computational LinguisticsJiajie Jin, Yutao Zhu, Yujia Zhou, et al.2024 · 28 citations
  51. 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
  52. 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
  53. Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back HomeAnnual Meeting of the Association for Computational Linguistics (ACL)Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, et al.2025 · 21 citations
  54. GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?arXiv:2502.05252Yang Zhou, Hongyi Liu, Zhuoming Chen, et al.2025 · 21 citations
  55. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
  56. 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
  57. 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
  58. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented ReasoningConference on Neural Information Processing Systems (NeurIPS)Yaorui Shi, Sihang Li, Chang Wu, et al.2025 · 18 citations
  59. Adaptive Tool Use in Large Language Models with Meta-Cognition TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjun Li, Dexun Li, Kuicai Dong, et al.2025 · 16 citations
  60. 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
  61. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
  62. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
  63. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
  64. 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
  65. Towards Knowledge Checking in Retrieval-augmented Generation: A Representation PerspectiveConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shenglai Zeng, Jiankun Zhang, Bingheng Li, et al.2025 · 14 citations
  66. Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented GenerationInternational Conference on Computational Linguistics (COLING)Zijie Zhong, Hanwen Liu, Xiaoya Cui, et al.2025 · 13 citations
  67. Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning ArgumentationsConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto, et al.2025 · 12 citations
  68. s3: You Don't Need That Much Data to Train a Search Agent via RLConference on Empirical Methods in Natural Language Processing (EMNLP)Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.2025 · 12 citations
  69. Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research PapersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.2025 · 11 citations
  70. 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
  71. 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
  72. 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
  73. BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Qizhou Chen, et al.2025 · 9 citations
  74. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
  75. You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning StructuresarXiv:2508.06105Shengyuan Chen, Chuang Zhou, Zheng Yuan, et al.2025 · 9 citations
  76. Retrieval as Generation: A Unified Framework with Self-Triggered Information PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Li, Mingda Wang, Gexiang Fang, et al.2026 · 8 citations
  77. 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
  78. Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Chengkai Huang, Yu Xia, Rui Wang, et al.2025 · 5 citations
  79. Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QAAnnual Meeting of the Association for Computational Linguistics (ACL)Justice Ou, Tinglin Huang, Yilun Zhao, et al.2026 · 4 citations
  80. Test-time Corpus Feedback: From Retrieval to RAGFindings of the Association for Computational LinguisticsMandeep Rathee, Venktesh V, Sean MacAvaney, et al.2026 · 4 citations
  81. UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and GranularitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Woongyeong Yeo, Kangsan Kim, Soyeong Jeong, et al.2026 · 4 citations
  82. Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language ModelsarXiv:2412.15265Yingshui Tan, Boren Zheng, Baihui Zheng, et al.2024 · 4 citations
  83. 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
  84. SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Dien X. Tran, Nam V. Nguyen, Tran Tan Thanh, et al.2026 · 2 citations
  85. 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
  86. 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
  87. DRAGON: Domain-specific Robust Automatic Data Generation for RAG OptimizationFindings of the Association for Computational LinguisticsHaiyang Shen, Hang Yan, Zhongshi Xing, et al.2026 · 1 citation
  88. 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
  89. TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG RobustnessLanguage Resources and Evaluation Conference (LREC)Yongxin Zhou, Philippe Mulhem, Didier Schwab2026 · 1 citation
  90. T²-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jan Strich, Enes Kutay Isgorur, Maximilian Trescher, et al.2026 · 1 citation
  91. Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqing Luo, Zongye Hu, Xiao Wang, et al.2026 · 1 citation
  92. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
  93. An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMsFindings of the Association for Computational LinguisticsHengran Zhang, Keping Bi, Jiafeng Guo, et al.2026
  94. Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QALanguage Resources and Evaluation Conference (LREC)Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.2026
  95. Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Zhang, Yan Zhuang, ZhuHang Zheng, et al.2026
  96. CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.2026
  97. CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Zili Wei, Yilin Wang, Xiaocui Yang, et al.2026
  98. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyun Yin, Shujie Wang, Xuhong Wang, et al.2026
  99. Dynamic Graph Navigation via Triplet Chains for Structure-Aware Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsFeng Zhao, Yufei Wu, Xianggan Liu, et al.2026
  100. EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric VideoFindings of the Association for Computational LinguisticsYuanmin Tang, Jue Zhang, Xiaoting Qin, et al.2026

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