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Who cites Dor Muhlgay

443 citations of their works from 438 papers of our library (of the 149,439 whose bibliographies we read) · 132 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Dor Muhlgay

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  1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
  2. 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
  3. Lost in the Middle: How Language Models Use Long ContextsTransactions of the Association for Computational Linguistics (TACL)Nelson F. Liu, Kevin Lin, John Hewitt, et al.2023 · 2,584 citations
  4. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
  5. 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
  6. 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
  7. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 978 citations
  8. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
  9. Active Retrieval Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhengbao Jiang, Frank Xu, Luyu Gao, et al.2023 · 872 citations
  10. In-Context Retrieval-Augmented Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ori Ram, Yoav Levine, Itay Dalmedigos, et al.2023 · 793 citations
  11. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionarXiv:2310.11511Akari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 677 citations
  12. 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
  13. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsarXiv:2401.01301 · Journal of Legal Analysis 16, no. 1 (2024): 64-93Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 437 citations
  14. Benchmarking Retrieval-Augmented Generation for MedicineFindings of the Association for Computational LinguisticsGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 430 citations
  15. Towards General Text Embeddings with Multi-stage Contrastive LearningarXiv:2308.03281Zehan Li, Xin Zhang, Yanzhao Zhang, et al.2023 · 384 citations
  16. 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
  17. 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
  18. LightRAG: Simple and Fast Retrieval-Augmented GenerationarXiv:2410.05779Zirui Guo, Lianghao Xia, Yanhua Yu, et al.2024 · 316 citations
  19. The Power of Noise: Redefining Retrieval for RAG SystemsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, et al.2024 · 312 citations
  20. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  21. Ragas: Automated Evaluation of Retrieval Augmented GenerationarXiv:2309.15217Shahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 283 citations
  22. Corrective Retrieval Augmented GenerationarXiv:2401.15884Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 273 citations
  23. DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsarXiv:2309.03883Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.2023 · 269 citations
  24. 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
  25. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  26. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
  27. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 195 citations
  28. RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalarXiv:2401.18059Parth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024 · 193 citations
  29. Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsarXiv:2305.13300Jian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 168 citations
  30. Long-form factuality in large language modelsConference on Neural Information Processing Systems (NeurIPS)Jerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 165 citations
  31. LooGLE: Can Long-Context Language Models Understand Long Contexts?Annual Meeting of the Association for Computational Linguistics (ACL)Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.2023 · 165 citations
  32. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
  33. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 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. 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
  37. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  38. Nomic Embed: Training a Reproducible Long Context Text EmbedderarXiv:2402.01613Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 126 citations
  39. RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and GenerationarXiv:2303.12570Fengji Zhang, Bei Chen, Yue Zhang, et al.2023 · 119 citations
  40. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationarXiv:2310.04408Fangyuan Xu, Weijia Shi, Eunsol Choi2023 · 115 citations
  41. ExpertQA: Expert-Curated Questions and Attributed AnswersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 113 citations
  42. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsarXiv:2404.07738Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 111 citations
  43. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
  44. 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
  45. Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Tomer Wolfson, Ben Bogin, et al.2023 · 99 citations
  46. MinerU: An Open-Source Solution for Precise Document Content ExtractionarXiv:2409.18839Bin Wang, Chao Xu, Xiaomeng Zhao, et al.2024 · 95 citations
  47. On the Tool Manipulation Capability of Open-source Large Language ModelsarXiv:2305.16504Qiantong Xu, Fenglu Hong, Bo Li, et al.2023 · 92 citations
  48. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
  49. 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
  50. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
  51. Generating Benchmarks for Factuality Evaluation of Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Dor Muhlgay, Ori Ram, Inbal Magar, et al.2024 · 81 citations
  52. 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
  53. 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
  54. VeriScore: Evaluating the factuality of verifiable claims in long-form text generationFindings of the Association for Computational LinguisticsYixiao Song, Yekyung Kim, Mohit Iyyer2024 · 72 citations
  55. Physics of Language Models: Part 3.2, Knowledge ManipulationarXiv:2309.14402Zeyuan Allen-Zhu, Yuanzhi Li2023 · 72 citations
  56. 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
  57. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
  58. 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
  59. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  60. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsarXiv:2411.14199Akari Asai, Jacqueline He, Rulin Shao, et al.2024 · 62 citations
  61. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  62. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Shaolei Zhang, Tian Yu, Yang Feng2024 · 57 citations
  63. 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
  64. 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
  65. AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
  66. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
  67. ZeroSearch: Incentivize the Search Capability of LLMs without SearchingarXiv:2505.04588Hao Sun, Zile Qiao, Jiayan Guo, et al.2025 · 50 citations
  68. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  69. Resolving Knowledge Conflicts in Large Language ModelsarXiv:2310.00935Yike Wang, Shangbin Feng, Heng Wang, et al.2023 · 48 citations
  70. AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?Conference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, et al.2024 · 46 citations
  71. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?Annual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Fei Sun, Wanli Yang, et al.2024 · 37 citations
  72. TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked TextConference on Empirical Methods in Natural Language Processing (EMNLP)Songshuo Lu, Hua Wang, Yutian Rong, et al.2025 · 32 citations
  73. 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
  74. Augmented Large Language Models with Parametric Knowledge GuidingarXiv:2305.04757Ziyang Luo, Can Xu, Pu Zhao, et al.2023 · 32 citations
  75. 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
  76. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
  77. Understanding Retrieval Augmentation for Long-Form Question AnsweringarXiv:2310.12150Hung-Ting Chen, Fangyuan Xu, Shane Arora, et al.2023 · 24 citations
  78. HALoGEN: Fantastic LLM Hallucinations and Where to Find ThemAnnual Meeting of the Association for Computational Linguistics (ACL)Abhilasha Ravichander, Shrusti Ghela, David Wadden, et al.2025 · 22 citations
  79. 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
  80. 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
  81. 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
  82. NeoBERT: A Next-Generation BERTarXiv:2502.19587Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.2025 · 20 citations
  83. 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
  84. FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Farima Fatahi Bayat, Lechen Zhang, Sheza Munir, et al.2025 · 16 citations
  85. 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
  86. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  87. Evaluating Large Language Models for Health-related Queries with PresuppositionsFindings of the Association for Computational LinguisticsNavreet Kaur, Monojit Choudhury, Danish Pruthi2024 · 15 citations
  88. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
  89. OmniThink: Expanding Knowledge Boundaries in Machine Writing through ThinkingConference on Empirical Methods in Natural Language Processing (EMNLP)Zekun Xi, Wenbiao Yin, Jizhan Fang, et al.2025 · 14 citations
  90. 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
  91. 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
  92. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement LearningarXiv:2505.17667Fanqi Wan, Weizhou Shen, Shengyi Liao, et al.2025 · 13 citations
  93. Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language ModelsarXiv:2312.01714Bingshuai Liu, Chenyang Lyu, Zijun Min, et al.2023 · 13 citations
  94. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
  95. 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
  96. Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual UnderstandingarXiv:2410.01671Yanming Liu, Xinyue Peng, Jiannan Cao, et al.2024 · 10 citations
  97. 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
  98. LAQuer: Localized Attribution Queries in Content-grounded GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Eran Hirsch, Aviv Slobodkin, David Wan, et al.2025 · 8 citations
  99. On Many-Shot In-Context Learning for Long-Context EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaijian Zou, Muhammad Khalifa, Lu Wang2025 · 8 citations
  100. 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

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