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Who cites Hakan Inan

7,540 citations of their works from 7,426 papers of our library (of the 149,439 whose bibliographies we read) · 1,473 with a page here, the most cited first · page 4 of 15 · 301–400 · ← Hakan Inan

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  1. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
  2. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 137 citations
  3. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsFindings of the Association for Computational LinguisticsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 136 citations
  4. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations
  5. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsarXiv:2309.07875Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 135 citations
  6. Simple synthetic data reduces sycophancy in large language modelsarXiv:2308.03958Jerry Wei, Da Huang, Yifeng Lu, et al.2023 · 134 citations
  7. Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationarXiv:2006.10369Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.2020 · 134 citations
  8. EuroLLM: Multilingual Language Models for EuropearXiv:2409.16235Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 133 citations
  9. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
  10. The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, et al.2024 · 133 citations
  11. OpenWebMath: An Open Dataset of High-Quality Mathematical Web TextarXiv:2310.06786Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.2023 · 132 citations
  12. LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence ParallelismACM SIGOPS Symposium on Operating Systems Principles (SOSP)Bingyang Wu, Shengyu Liu, Yinmin Zhong, et al.2024 · 131 citations
  13. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 130 citations
  14. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
  15. Retrieval meets Long Context Large Language ModelsarXiv:2310.03025Peng Xu, Wei Ping, Xianchao Wu, et al.2023 · 130 citations
  16. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
  17. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsarXiv:2308.08493Shahriar Golchin, Mihai Surdeanu2023 · 128 citations
  18. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  19. AceGPT, Localizing Large Language Models in ArabicConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Huang Huang, Fei Yu, Jianqing Zhu, et al.2024 · 127 citations
  20. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal ModelsarXiv:2407.07895Feng Li, Renrui Zhang, Hao Zhang, et al.2024 · 127 citations
  21. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 127 citations
  22. Scaling Sentence Embeddings with Large Language ModelsFindings of the Association for Computational LinguisticsTing Jiang, Shaohan Huang, Zhongzhi Luan, et al.2024 · 127 citations
  23. The WMDP Benchmark: Measuring and Reducing Malicious Use With UnlearningarXiv:2403.03218Nathaniel Li, Alexander Pan, Anjali Gopal, et al.2024 · 127 citations
  24. Fine-tuning Language Models for FactualityarXiv:2311.08401Katherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 127 citations
  25. Function Vectors in Large Language ModelsarXiv:2310.15213Eric Todd, Millicent L. Li, Arnab Sen Sharma, et al.2023 · 127 citations
  26. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningarXiv:2404.05868Ruiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 126 citations
  27. Take a Step Back: Evoking Reasoning via Abstraction in Large Language ModelsarXiv:2310.06117Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, et al.2023 · 126 citations
  28. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsarXiv:2402.01622Jian Xie, Kai Zhang, Jiangjie Chen, et al.2024 · 125 citations
  29. Generative Judge for Evaluating AlignmentarXiv:2310.05470Junlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 125 citations
  30. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
  31. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  32. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Libo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
  33. AlphaMath Almost Zero: Process Supervision without ProcessConference on Neural Information Processing Systems (NeurIPS)Guoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 120 citations
  34. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
  35. QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM ServingMLSys 2025Yujun Lin, Haotian Tang, Shang Yang, et al.2024 · 120 citations
  36. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextarXiv:2401.12070Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.2024 · 120 citations
  37. #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsarXiv:2308.07074Keming Lu, Hongyi Yuan, Zheng Yuan, et al.2023 · 120 citations
  38. UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionarXiv:2308.03279Wenxuan Zhou, Sheng Zhang, Yu Gu, et al.2023 · 120 citations
  39. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
  40. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
  41. Llumnix: Dynamic Scheduling for Large Language Model ServingOSDI 2024Biao Sun, Ziming Huang, Hanyu Zhao, et al.2024 · 119 citations
  42. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsFindings of the Association for Computational LinguisticsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 119 citations
  43. SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
  44. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
  45. LLM Self Defense: By Self Examination, LLMs Know They Are Being TrickedarXiv:2308.07308Mansi Phute, Alec Helbling, Matthew Hull, et al.2023 · 119 citations
  46. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
  47. MapCoder: Multi-Agent Code Generation for Competitive Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez2024 · 118 citations
  48. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  49. Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 117 citations
  50. ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFindings of the Association for Computational LinguisticsFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 117 citations
  51. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice CodebooksarXiv:2402.04396Albert Tseng, Jerry Chee, Qingyao Sun, et al.2024 · 117 citations
  52. Platypus: Quick, Cheap, and Powerful Refinement of LLMsarXiv:2308.07317Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz2023 · 117 citations
  53. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  54. Quantifying the Persona Effect in LLM SimulationsAnnual Meeting of the Association for Computational Linguistics (ACL)Tiancheng Hu, Nigel Collier2024 · 116 citations
  55. Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Xinyi Wang, Wanrong Zhu, Michael Saxon, et al.2023 · 116 citations
  56. Large Language Models Understand and Can be Enhanced by Emotional StimuliarXiv:2307.11760Cheng Li, Jindong Wang, Yixuan Zhang, et al.2023 · 116 citations
  57. Inspecting and Editing Knowledge Representations in Language ModelsarXiv:2304.00740Evan Hernandez, Belinda Z. Li, Jacob Andreas2023 · 115 citations
  58. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationarXiv:2310.04408Fangyuan Xu, Weijia Shi, Eunsol Choi2023 · 115 citations
  59. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 114 citations
  60. Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language CapabilitiesarXiv:2404.17790Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al.2024 · 114 citations
  61. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsarXiv:2410.10819Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 114 citations
  62. V-STaR: Training Verifiers for Self-Taught ReasonersarXiv:2402.06457Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 114 citations
  63. Fundamental Limitations of Alignment in Large Language ModelsarXiv:2304.11082Yotam Wolf, Noam Wies, Oshri Avnery, et al.2023 · 114 citations
  64. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionarXiv:2310.03668Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
  65. In-context Autoencoder for Context Compression in a Large Language ModelarXiv:2307.06945Tao Ge, Jing Hu, Lei Wang, et al.2023 · 114 citations
  66. A Survey on Hallucination in Large Vision-Language ModelsarXiv:2402.00253Hanchao Liu, Wenyuan Xue, Yifei Chen, et al.2024 · 113 citations
  67. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  68. 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
  69. Certifying LLM Safety against Adversarial PromptingarXiv:2309.02705Aounon Kumar, Chirag Agarwal, Suraj Srinivas, et al.2023 · 113 citations
  70. AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Yang, Jin Xu, Wenrui Liu, et al.2024 · 112 citations
  71. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  72. Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChengyue Wu, Xiaokang Chen, Zhiyu Wu, et al.2024 · 112 citations
  73. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
  74. Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous SourcesarXiv:2305.13269Xingxuan Li, Ruochen Zhao, Yew Ken Chia, et al.2023 · 112 citations
  75. Don't Make Your LLM an Evaluation Benchmark CheaterarXiv:2311.01964Kun Zhou, Yutao Zhu, Zhipeng Chen, et al.2023 · 112 citations
  76. Orca-Math: Unlocking the potential of SLMs in Grade School MatharXiv:2402.14830Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 111 citations
  77. 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
  78. RLHF Workflow: From Reward Modeling to Online RLHFarXiv:2405.07863Hanze Dong, Wei Xiong, Bo Pang, et al.2024 · 111 citations
  79. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
  80. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  81. Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationarXiv:2308.07921Aojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 110 citations
  82. 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
  83. Data Engineering for Scaling Language Models to 128K ContextarXiv:2402.10171Yao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 109 citations
  84. Defending Against Alignment-Breaking Attacks via Robustly Aligned LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Bochuan Cao, Yuanpu Cao, Lu Lin, et al.2024 · 109 citations
  85. RouteLLM: Learning to Route LLMs with Preference DataarXiv:2406.18665Isaac Ong, Amjad Almahairi, Vincent Wu, et al.2024 · 109 citations
  86. Better Zero-Shot Reasoning with Role-Play PromptingarXiv:2308.07702Aobo Kong, Shiwan Zhao, Hao Chen, et al.2023 · 109 citations
  87. Prompt Cache: Modular Attention Reuse for Low-Latency InferenceMLSys 2024In Gim, Guojun Chen, Seung-seob Lee, et al.2023 · 109 citations
  88. GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversAnnual Meeting of the Association for Computational Linguistics (ACL)Qintong Li, Leyang Cui, Xueliang Zhao, et al.2024 · 108 citations
  89. INSIDE: LLMs' Internal States Retain the Power of Hallucination DetectionarXiv:2402.03744Chao Chen, Kai Liu, Ze Chen, et al.2024 · 108 citations
  90. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
  91. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
  92. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?Annual Meeting of the Association for Computational Linguistics (ACL)Qineng Wang, Zihao Wang, Ying Su, et al.2024 · 107 citations
  93. AppAgent: Multimodal Agents as Smartphone UsersarXiv:2312.13771Chi Zhang, Zhao Yang, Jiaxuan Liu, et al.2023 · 107 citations
  94. R-Judge: Benchmarking Safety Risk Awareness for LLM AgentsFindings of the Association for Computational LinguisticsTongxin Yuan, Zhiwei He, Lingzhong Dong, et al.2024 · 106 citations
  95. 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
  96. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 105 citations
  97. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingarXiv:2401.04398Zilong Wang, Hao Zhang, Chun-Liang Li, et al.2024 · 105 citations
  98. Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttentionUSENIX ATC 2024Bin Gao, Zhuomin He, Puru Sharma, et al.2024 · 105 citations
  99. MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesarXiv:2401.15391Yixuan Tang, Yi Yang2024 · 105 citations
  100. ServerlessLLM: Low-Latency Serverless Inference for Large Language ModelsarXiv:2401.14351Yao Fu, Leyang Xue, Yeqi Huang, et al.2024 · 105 citations

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