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Who cites Sam McCandlish

4,762 citations of their works from 3,975 papers of our library (of the 140,884 whose bibliographies we read) · 331 with a page here, the most cited first · page 3 of 4 · 201–300 · ← Sam McCandlish

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  1. GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsJiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 162 citations
  2. Scaling Synthetic Data Creation with 1,000,000,000 PersonasTao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 160 citations
  3. The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False DatasetsSamuel Marks, Max Tegmark2023 · 160 citations
  4. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherYouliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
  5. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  6. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
  7. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsSeungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
  8. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
  9. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesJunho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 147 citations
  10. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingXinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
  11. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
  12. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  13. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 145 citations
  14. Iterative Reasoning Preference OptimizationRichard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 144 citations
  15. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
  16. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  17. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 142 citations
  18. PMC-LLaMA: Towards Building Open-source Language Models for MedicineChaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 142 citations
  19. Rethinking embedding coupling in pre-trained language modelsHyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
  20. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningBill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 139 citations
  21. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  22. Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
  23. Detecting Language Model Attacks with PerplexityGabriel Alon, Michael Kamfonas2023 · 136 citations
  24. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
  25. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackYao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
  26. Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
  27. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsPaul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 134 citations
  28. Few-Shot Self-Rationalization with Natural Language PromptsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
  29. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  30. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
  31. Formal Mathematics Statement Curriculum LearningStanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.2022 · 132 citations
  32. EuroLLM: Multilingual Language Models for EuropePedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 131 citations
  33. Self-Alignment with Instruction BacktranslationXian Li, Ping Yu, Chunting Zhou, et al.2023 · 131 citations
  34. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  35. Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 citations
  36. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
  37. AceGPT, Localizing Large Language Models in ArabicHuang Huang, Fei Yu, Jianqing Zhu, et al.2024 · 127 citations
  38. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 126 citations
  39. 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
  40. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  41. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackWenda Xu, Danqing Wang, Liangming Pan, et al.2023 · 122 citations
  42. Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 121 citations
  43. Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
  44. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningRuiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 119 citations
  45. The case for 4-bit precision: k-bit Inference Scaling LawsTim Dettmers, Luke Zettlemoyer2022 · 119 citations
  46. Pretraining Language Models with Human PreferencesTomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 117 citations
  47. ProcessBench: Identifying Process Errors in Mathematical ReasoningChujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  48. Scaling Laws for Autoregressive Generative ModelingTom Henighan, Jared Kaplan, Mor Katz, et al.2020 · 115 citations
  49. From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
  50. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsYangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 114 citations
  51. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
  52. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  53. Data Engineering for Scaling Language Models to 128K ContextYao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 107 citations
  54. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 106 citations
  55. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsChris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 104 citations
  56. Nemotron-4 340B Technical ReportNvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
  57. Scaling Laws for TransferDanny Hernandez, Jared Kaplan, Tom Henighan, et al.2021 · 102 citations
  58. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  59. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
  60. Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsChunkit Chan, Cheng Jiayang, Weiqi Wang, et al.2024 · 92 citations
  61. Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
  62. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  63. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsLaura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  64. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationPatrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  65. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
  66. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 79 citations
  67. Coreference Resolution through a seq2seq Transition-Based SystemBernd Bohnet, Chris Alberti, Michael Collins2023 · 77 citations
  68. Iterative Translation Refinement with Large Language ModelsPinzhen Chen, Zhicheng Guo, Barry Haddow, et al.2024 · 73 citations
  69. Neural Networks and the Chomsky HierarchyGrégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 66 citations
  70. Scaling Laws and Interpretability of Learning from Repeated DataDanny Hernandez, Tom Brown, Tom Conerly, et al.2022 · 62 citations
  71. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesKarima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
  72. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsAaditya K. Singh, DJ Strouse2024 · 53 citations
  73. Scaling Laws of RoPE-based ExtrapolationXiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 53 citations
  74. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesBolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
  75. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  76. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
  77. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  78. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
  79. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 36 citations
  80. Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and ParaphrasingJaehun Jung, Peter West, Liwei Jiang, et al.2023 · 33 citations
  81. Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling ApproachKoren Lazar, Benny Saret, Asaf Yehudai, et al.2021 · 30 citations
  82. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  83. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingHritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 26 citations
  84. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
  85. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
  86. A Large and Diverse Arabic Corpus for Language ModelingAbbas Raza Ali, Muhammad Ajmal Siddiqui, Rema Algunaibet, et al.2022 · 16 citations
  87. A Simple and Strong Baseline for End-to-End Neural RST-style Discourse ParsingNaoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, et al.2022 · 16 citations
  88. Evaluating Large Language Models for Health-related Queries with PresuppositionsNavreet Kaur, Monojit Choudhury, Danish Pruthi2024 · 15 citations
  89. Alignment at Pre-training! Towards Native Alignment for Arabic LLMsJuhao Liang, Zhenyang Cai, Jianqing Zhu, et al.2024 · 14 citations
  90. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
  91. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnLiang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  92. Constituency Parsing using LLMsXuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
  93. TigerCoder: A Novel Suite of LLMs for Code Generation in BanglaNishat Raihan, Antonios Anastasopoulos, Marcos Zampieri2026 · 13 citations
  94. from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsYu Yan, Sheng Sun, Zenghao Duan, et al.2025 · 12 citations
  95. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningNishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  96. Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachChuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
  97. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question AnsweringNeha Srikanth, Rupak Sarkar, Heran Mane, et al.2024 · 11 citations
  98. A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
  99. Multilingual Sequence-to-Sequence Models for Hebrew NLPMatan Eyal, Hila Noga, Roee Aharoni, et al.2023 · 9 citations
  100. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningYang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations

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