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Who cites «Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks»

3,230 papers of our library cite it (of the 149,439 whose bibliographies we read) · 578 with a page here, the most cited first · page 2 of 6 · 101–200 · ← back to «Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks»

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  1. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
  2. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 195 citations
  3. RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalarXiv:2401.18059Parth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024 · 193 citations
  4. Retrieval Augmented Code Generation and SummarizationFindings of the Association for Computational LinguisticsMd Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.2021 · 193 citations
  5. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  6. Pre-training via ParaphrasingarXiv:2006.15020Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.2020 · 187 citations
  7. LawBench: Benchmarking Legal Knowledge of Large Language ModelsarXiv:2309.16289Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 186 citations
  8. Towards Building Multilingual Language Model for MedicineNature CommunicationsPengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, et al.2024 · 184 citations
  9. Re2G: Retrieve, Rerank, GenerateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 184 citations
  10. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
  11. ToolQA: A Dataset for LLM Question Answering with External ToolsConference on Neural Information Processing Systems (NeurIPS)Yuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 182 citations
  12. Evaluating Retrieval Quality in Retrieval-Augmented GenerationInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Alireza Salemi, Hamed Zamani2024 · 181 citations
  13. RealTime QA: What's the Answer Right Now?Conference on Neural Information Processing Systems (NeurIPS)Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 181 citations
  14. On the Risk of Misinformation Pollution with Large Language ModelsFindings of the Association for Computational LinguisticsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 179 citations
  15. A-MEM: Agentic Memory for LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Wujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 178 citations
  16. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  17. Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsBioinformaticsMinbyul Jeong, Jiwoong Sohn, Mujeen Sung, et al.2024 · 164 citations
  18. CultureLLM: Incorporating Cultural Differences into Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Cheng Li, Mengzhou Chen, Jindong Wang, et al.2024 · 162 citations
  19. LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionFindings of the Association for Computational LinguisticsZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 161 citations
  20. FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosarXiv:2307.13528I-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023 · 160 citations
  21. MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yilin Wen, Zifeng Wang, Jimeng Sun2024 · 158 citations
  22. LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt CompressionarXiv:2310.06839Huiqiang Jiang, Qianhui Wu, Xufang Luo, et al.2023 · 158 citations
  23. MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Peng Xu, Mostofa Patwary, Mohammad Shoeybi, et al.2020 · 158 citations
  24. Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Zhang, Harold Soh2024 · 155 citations
  25. Generation-Augmented Retrieval for Open-domain Question AnsweringarXiv:2009.08553Yuning Mao, Pengcheng He, Xiaodong Liu, et al.2020 · 151 citations
  26. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
  27. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.2024 · 149 citations
  28. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
  29. TALM: Tool Augmented Language ModelsarXiv:2205.12255Aaron Parisi, Yao Zhao, Noah Fiedel2022 · 149 citations
  30. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
  31. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
  32. 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
  33. Retrieval-based Language Models and ApplicationsAnnual Meeting of the Association for Computational Linguistics (ACL)Akari Asai, Sewon Min, Zexuan Zhong, et al.2023 · 141 citations
  34. 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
  35. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
  36. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
  37. 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
  38. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationarXiv:2310.03214Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 134 citations
  39. Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt CompletionFindings of the Association for Computational LinguisticsKurt Shuster, Mojtaba Komeili, Leonard Adolphs, et al.2022 · 132 citations
  40. 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
  41. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 130 citations
  42. Retrieval meets Long Context Large Language ModelsarXiv:2310.03025Peng Xu, Wei Ping, Xianchao Wu, et al.2023 · 130 citations
  43. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  44. Fine-tuning Language Models for FactualityarXiv:2311.08401Katherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 127 citations
  45. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
  46. Nomic Embed: Training a Reproducible Long Context Text EmbedderarXiv:2402.01613Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 126 citations
  47. Learning Dense Representations of Phrases at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, et al.2021 · 126 citations
  48. Generative Spoken Dialogue Language ModelingTransactions of the Association for Computational Linguistics (TACL)Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, et al.2023 · 124 citations
  49. Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyong Wu, Lingpeng Kong, Wei Bi, et al.2021 · 120 citations
  50. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
  51. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  52. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionarXiv:2309.14316Zeyuan Allen-Zhu, Yuanzhi Li2023 · 116 citations
  53. KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Donghan Yu, Chenguang Zhu, Yuwei Fang, et al.2022 · 116 citations
  54. End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.2021 · 116 citations
  55. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  56. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationarXiv:2310.04408Fangyuan Xu, Weijia Shi, Eunsol Choi2023 · 115 citations
  57. Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 106 citations
  58. SimLM: Pre-training with Representation Bottleneck for Dense Passage RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wang, Nan Yang, Xiaolong Huang, et al.2023 · 106 citations
  59. CDLM: Cross-Document Language ModelingFindings of the Association for Computational LinguisticsAvi Caciularu, Arman Cohan, Iz Beltagy, et al.2021 · 106 citations
  60. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
  61. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting EvidenceConference on Empirical Methods in Natural Language Processing (EMNLP)Hung-Ting Chen, Michael Zhang, Eunsol Choi2022 · 105 citations
  62. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
  63. Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval AugmentationInternational Conference on Computational Linguistics (COLING)Ruiyang Ren, Yuhao Wang, Yingqi Qu, et al.2025 · 101 citations
  64. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language ModelsFindings of the Association for Computational LinguisticsWeihang Su, Changyue Wang, Qingyao Ai, et al.2024 · 99 citations
  65. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  66. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human PreferencesACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Xiao Liu, Hanyu Lai, Hao Yu, et al.2023 · 95 citations
  67. On the Tool Manipulation Capability of Open-source Large Language ModelsarXiv:2305.16504Qiantong Xu, Fenglu Hong, Bo Li, et al.2023 · 92 citations
  68. Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Junde Wu, Jiayuan Zhu, Yunli Qi, et al.2025 · 91 citations
  69. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 90 citations
  70. Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on GraphsFindings of the Association for Computational LinguisticsBowen Jin, Chulin Xie, Jiawei Zhang, et al.2024 · 89 citations
  71. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Helia Hashemi, Jason Eisner, Corby Rosset, et al.2024 · 88 citations
  72. Learning to Filter Context for Retrieval-Augmented GenerationarXiv:2311.08377Zhiruo Wang, Jun Araki, Zhengbao Jiang, et al.2023 · 88 citations
  73. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  74. Complex Claim Verification with Evidence Retrieved in the WildConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jifan Chen, Grace Kim, Aniruddh Sriram, et al.2024 · 86 citations
  75. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
  76. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsConference on Neural Information Processing Systems (NeurIPS)Laura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  77. Simulating Classroom Education with LLM-Empowered AgentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, et al.2025 · 84 citations
  78. Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Gangwoo Kim, Sungdong Kim, Byeongguk Jeon, et al.2023 · 84 citations
  79. Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.2024 · 78 citations
  80. Factuality of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.2024 · 77 citations
  81. Self-Reflection in LLM Agents: Effects on Problem-Solving PerformancearXiv:2405.06682 · 2nd International Conference on Foundation and Large Language Models (FLLM 2024), pp. 476-483Matthew Renze, Erhan Guven2024 · 76 citations
  82. Lift Yourself Up: Retrieval-augmented Text Generation with Self MemoryConference on Neural Information Processing Systems (NeurIPS)Xin Cheng, Di Luo, Xiuying Chen, et al.2023 · 76 citations
  83. Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Feiteng Fang, Yuelin Bai, Shiwen Ni, et al.2024 · 75 citations
  84. WebWalker: Benchmarking LLMs in Web TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Jialong Wu, Wenbiao Yin, Yong Jiang, et al.2025 · 72 citations
  85. Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksConference on Neural Information Processing Systems (NeurIPS)Minki Kang, Seanie Lee, Jinheon Baek, et al.2023 · 71 citations
  86. Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language ModelsLanguage Resources and Evaluation Conference (LREC)Zhuoran Jin, Pengfei Cao, Yubo Chen, et al.2024 · 70 citations
  87. Summary of a Haystack: A Challenge to Long-Context LLMs and RAG SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Philippe Laban, Alexander Fabbri, Caiming Xiong, et al.2024 · 69 citations
  88. 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
  89. ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceConference on Neural Information Processing Systems (NeurIPS)Kevin Wu, Eric Wu, James Zou2024 · 65 citations
  90. 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
  91. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  92. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  93. What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Federico Errica, Davide Sanvito, Giuseppe Siracusano, et al.2025 · 63 citations
  94. Understanding Transformer Memorization Recall Through IdiomsConference of the European Chapter of the Association for Computational Linguistics (EACL)Adi Haviv, Ido Cohen, Jacob Gidron, et al.2023 · 62 citations
  95. Evidentiality-guided Generation for Knowledge-Intensive NLP TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Akari Asai, Matt Gardner, Hannaneh Hajishirzi2022 · 60 citations
  96. 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
  97. 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
  98. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
  99. Improving Language Models via Plug-and-Play Retrieval FeedbackarXiv:2305.14002Wenhao Yu, Zhihan Zhang, Zhenwen Liang, et al.2023 · 54 citations
  100. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?arXiv:2406.13121Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.2024 · 53 citations

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