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Who cites Xavier Martinet

5,737 citations of their works from 5,728 papers of our library (of the 140,884 whose bibliographies we read) · 383 with a page here, the most cited first · page 3 of 4 · 201–300 · ← Xavier Martinet

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  1. Aya 23: Open Weight Releases to Further Multilingual ProgressViraat Aryabumi, John Dang, Dwarak Talupuru, et al.2024 · 171 citations
  2. OpenChat: Advancing Open-source Language Models with Mixed-Quality DataGuan Wang, Sijie Cheng, Xianyuan Zhan, et al.2023 · 171 citations
  3. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsSimone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.2024 · 170 citations
  4. HuaTuo: Tuning LLaMA Model with Chinese Medical KnowledgeHaochun Wang, Chi Liu, Nuwa Xi, et al.2023 · 170 citations
  5. Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah Goodman2023 · 170 citations
  6. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  7. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
  8. SqueezeLLM: Dense-and-Sparse QuantizationSehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 168 citations
  9. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 166 citations
  10. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  11. Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsJian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 165 citations
  12. Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
  13. LooGLE: Can Long-Context Language Models Understand Long Contexts?Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.2023 · 162 citations
  14. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  15. L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsChenxin An, Shansan Gong, Ming Zhong, et al.2023 · 159 citations
  16. AgentTuning: Enabling Generalized Agent Abilities for LLMsAohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 158 citations
  17. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherYouliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
  18. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
  19. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningMing Li, Yong Zhang, Zhitao Li, et al.2023 · 157 citations
  20. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  21. VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksJing Yu Koh, Robert Lo, Lawrence Jang, et al.2024 · 156 citations
  22. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
  23. LayerSkip: Enabling Early Exit Inference and Self-Speculative DecodingMostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.2024 · 155 citations
  24. Moshi: a speech-text foundation model for real-time dialogueAlexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 154 citations
  25. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
  26. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsYang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
  27. Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningLean Wang, Lei Li, Damai Dai, et al.2023 · 153 citations
  28. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
  29. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language ModelsTianyi Tang, Wenyang Luo, Haoyang Huang, et al.2024 · 151 citations
  30. PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information FunnelingZefan Cai, Yichi Zhang, Bofei Gao, et al.2024 · 151 citations
  31. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
  32. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationNiels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 150 citations
  33. Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 149 citations
  34. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsXiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 148 citations
  35. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvatureGuangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 146 citations
  36. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  37. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
  38. RA-DIT: Retrieval-Augmented Dual Instruction TuningXi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 145 citations
  39. Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
  40. Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
  41. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  42. In-Context Learning Creates Task VectorsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
  43. PMC-LLaMA: Towards Building Open-source Language Models for MedicineChaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 142 citations
  44. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsShibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 142 citations
  45. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  46. ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsZhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.2023 · 141 citations
  47. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationNeeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 139 citations
  48. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
  49. MLAgentBench: Evaluating Language Agents on Machine Learning ExperimentationQian Huang, Jian Vora, Percy Liang, et al.2023 · 137 citations
  50. Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 136 citations
  51. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
  52. SafetyBench: Evaluating the Safety of Large Language ModelsZhexin Zhang, Leqi Lei, Lindong Wu, et al.2023 · 135 citations
  53. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  54. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesYuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 131 citations
  55. Self-Alignment with Instruction BacktranslationXian Li, Ping Yu, Chunting Zhou, et al.2023 · 131 citations
  56. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  57. Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 citations
  58. Retrieval meets Long Context Large Language ModelsPeng Xu, Wei Ping, Xianchao Wu, et al.2023 · 129 citations
  59. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  60. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsShahriar Golchin, Mihai Surdeanu2023 · 127 citations
  61. ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI ConversationZi Lin, Zihan Wang, Yongqi Tong, et al.2023 · 127 citations
  62. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
  63. SeeClick: Harnessing GUI Grounding for Advanced Visual GUI AgentsKanzhi Cheng, Qiushi Sun, Yougang Chu, et al.2024 · 125 citations
  64. OpenWebMath: An Open Dataset of High-Quality Mathematical Web TextKeiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.2023 · 124 citations
  65. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsFederico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 124 citations
  66. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsLei Li, Yuqi Wang, Runxin Xu, et al.2024 · 123 citations
  67. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  68. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackWenda Xu, Danqing Wang, Liangming Pan, et al.2023 · 122 citations
  69. LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 122 citations
  70. Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 121 citations
  71. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionZ. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 120 citations
  72. Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
  73. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionOscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
  74. Demystifying Long Chain-of-Thought Reasoning in LLMsEdward Yeo, Yuxuan Tong, Morry Niu, et al.2025 · 113 citations
  75. DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree SearchHuajian Xin, Z. Z. Ren, Junxiao Song, et al.2024 · 113 citations
  76. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingYichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 112 citations
  77. DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic DataHuajian Xin, Daya Guo, Zhihong Shao, et al.2024 · 111 citations
  78. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsGuangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 109 citations
  79. Data Engineering for Scaling Language Models to 128K ContextYao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 107 citations
  80. GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversQintong Li, Leyang Cui, Xueliang Zhao, et al.2024 · 107 citations
  81. Evaluating the Performance of Large Language Models on GAOKAO BenchmarkXiaotian Zhang, Chunyang Li, Yi Zong, et al.2023 · 107 citations
  82. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionZeyuan Allen-Zhu, Yuanzhi Li2023 · 107 citations
  83. Tokenizer Choice For LLM Training: Negligible or Crucial?Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 102 citations
  84. Qwen2.5-1M Technical ReportAn Yang, Bowen Yu, Chengyuan Li, et al.2025 · 100 citations
  85. MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
  86. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelXiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 92 citations
  87. Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
  88. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  89. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
  90. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsWai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 66 citations
  91. Tokenization Is More Than CompressionCraig W Schmidt, Varshini Reddy, Haoran Zhang, et al.2024 · 66 citations
  92. LegalAgentBench: Evaluating LLM Agents in Legal DomainHaitao Li, Junjie Chen, Jingli Yang, et al.2025 · 60 citations
  93. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesKarima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
  94. Stance Detection on Social Media with Background KnowledgeAng Li, Bin Liang, Jingqian Zhao, et al.2023 · 58 citations
  95. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsAaditya K. Singh, DJ Strouse2024 · 53 citations
  96. Scaling Laws of RoPE-based ExtrapolationXiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 53 citations
  97. SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language ModelsXin Zhang, Dong Zhang, Shimin Li, et al.2023 · 51 citations
  98. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  99. Metaphor Understanding Challenge Dataset for LLMsXiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
  100. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations

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