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Who cites Pamela Mishkin

9,069 citations of their works from 8,739 papers of our library (of the 140,884 whose bibliographies we read) · 574 with a page here, the most cited first · page 3 of 6 · 201–300 · ← Pamela Mishkin

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  1. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesRishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
  2. Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
  3. Efficient and Effective Text Encoding for Chinese LLaMA and AlpacaYiming Cui, Ziqing Yang, Xin Yao2023 · 285 citations
  4. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageAndy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 285 citations
  5. Is ChatGPT a Good NLG Evaluator? A Preliminary StudyJiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 281 citations
  6. MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 281 citations
  7. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
  8. Large Language Models for Mathematical Reasoning: Progresses and ChallengesJanice Ahn, Rishu Verma, Renze Lou, et al.2024 · 279 citations
  9. HuatuoGPT, Towards Taming Language Model to Be a DoctorHongbo Zhang, Junying Chen, Feng Jiang, et al.2023 · 279 citations
  10. Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical StudyYong Cao, Li Zhou, Seolhwa Lee, et al.2023 · 278 citations
  11. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  12. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 276 citations
  13. An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsLiang Chen, Haozhe Zhao, Tianyu Liu, et al.2024 · 276 citations
  14. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
  15. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
  16. Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
  17. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsPatrick Chao, Edoardo Debenedetti, Alexander Robey, et al.2024 · 273 citations
  18. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTXiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han2023 · 272 citations
  19. Corrective Retrieval Augmented GenerationShi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 271 citations
  20. Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding HeadsTianle Cai, Yuhong Li, Zhengyang Geng, et al.2024 · 271 citations
  21. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 267 citations
  22. Scaling Laws for Reward Model OveroptimizationLeo Gao, John Schulman, Jacob Hilton2022 · 266 citations
  23. Are We on the Right Way for Evaluating Large Vision-Language Models?Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 263 citations
  24. DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsYung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.2023 · 261 citations
  25. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
  26. Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
  27. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
  28. Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, et al.2023 · 254 citations
  29. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  30. A General Theoretical Paradigm to Understand Learning from Human PreferencesMohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, et al.2023 · 250 citations
  31. The Curse of Recursion: Training on Generated Data Makes Models ForgetIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 250 citations
  32. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  33. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  34. Hallucinations in Large Multilingual Translation ModelsNuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.2023 · 244 citations
  35. Ignore Previous Prompt: Attack Techniques For Language ModelsFabio Perez, Ian Ribeiro2022 · 244 citations
  36. Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
  37. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  38. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He He2022 · 238 citations
  39. Multimodal Few-Shot Learning with Frozen Language ModelsMaria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 238 citations
  40. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
  41. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyZeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
  42. Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language ModelsMyra Cheng, Esin Durmus, Dan Jurafsky2023 · 236 citations
  43. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engageKurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 234 citations
  44. SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationElisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.2022 · 234 citations
  45. Evaluating Open-Domain Question Answering in the Era of Large Language ModelsEhsan Kamalloo, Nouha Dziri, Charles Clarke, et al.2023 · 233 citations
  46. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
  47. MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?Renrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.2024 · 231 citations
  48. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsPaul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.2023 · 227 citations
  49. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  50. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsNeel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 224 citations
  51. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingHaoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 223 citations
  52. Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  53. How Language Model Hallucinations Can SnowballMuru Zhang, Ofir Press, William Merrill, et al.2023 · 221 citations
  54. MedAlpaca — An Open-Source Collection of Medical Conversational AI Models and Training DataTianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, et al.2023 · 221 citations
  55. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionKai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 220 citations
  56. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
  57. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
  58. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 219 citations
  59. Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 219 citations
  60. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
  61. AlpaGasus: Training A Better Alpaca with Fewer DataLichang Chen, Shiyang Li, Jun Yan, et al.2023 · 214 citations
  62. WildChat: 1M ChatGPT Interaction Logs in the WildWenting Zhao, Xiang Ren, Jack Hessel, et al.2024 · 213 citations
  63. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
  64. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
  65. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPOmar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 211 citations
  66. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Yubo Ma, Yixin Cao, Yong Hong, et al.2023 · 210 citations
  67. LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersParishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 209 citations
  68. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  69. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical ReasoningPan Lu, Liang Qiu, Kai-Wei Chang, et al.2022 · 209 citations
  70. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 209 citations
  71. Sources of Hallucination by Large Language Models on Inference TasksNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 208 citations
  72. Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine TranslationHaoran Xu, Amr Sharaf, Yunmo Chen, et al.2024 · 207 citations
  73. Exploring Human-Like Translation Strategy with Large Language ModelsZhiwei He, Tian Liang, Wenxiang Jiao, et al.2024 · 207 citations
  74. Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
  75. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 204 citations
  76. SALMONN: Towards Generic Hearing Abilities for Large Language ModelsChangli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 202 citations
  77. SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationHyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 201 citations
  78. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesJay Gala, Pranjal A. Chitale, Raghavan AK, et al.2023 · 200 citations
  79. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  80. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 199 citations
  81. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  82. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 198 citations
  83. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchDan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 197 citations
  84. Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
  85. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?Yang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
  86. What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
  87. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionXiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
  88. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackViet Lai, Chien Nguyen, Nghia Ngo, et al.2023 · 194 citations
  89. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsZheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
  90. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningJun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 192 citations
  91. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 191 citations
  92. Towards Making the Most of ChatGPT for Machine TranslationKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
  93. Refusal in Language Models Is Mediated by a Single DirectionAndy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 188 citations
  94. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
  95. Adaptive Machine Translation with Large Language ModelsYasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.2023 · 186 citations
  96. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsZekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 186 citations
  97. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
  98. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  99. Multilingual Jailbreak Challenges in Large Language ModelsYue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al.2023 · 183 citations
  100. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations

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