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Who cites Benjamin Mann

10,897 citations of their works from 10,827 papers of our library (of the 140,884 whose bibliographies we read) · 816 with a page here, the most cited first · page 4 of 9 · 301–400 · ← Benjamin Mann

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  1. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  2. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
  3. Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
  4. 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
  5. Corrective Retrieval Augmented GenerationShi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 271 citations
  6. Surface Form Competition: Why the Highest Probability Answer Isn't Always RightAri Holtzman, Peter West, Vered Shwartz, et al.2021 · 271 citations
  7. Reducing Activation Recomputation in Large Transformer ModelsVijay Korthikanti, Jared Casper, Sangkug Lym, et al.2022 · 270 citations
  8. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsTarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 268 citations
  9. An Explanation of In-context Learning as Implicit Bayesian InferenceSang Michael Xie, Aditi Raghunathan, Percy Liang, et al.2021 · 268 citations
  10. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 267 citations
  11. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 267 citations
  12. Scaling Laws for Reward Model OveroptimizationLeo Gao, John Schulman, Jacob Hilton2022 · 266 citations
  13. CUAD: An Expert-Annotated NLP Dataset for Legal Contract ReviewDan Hendrycks, Collin Burns, Anya Chen, et al.2021 · 265 citations
  14. Are We on the Right Way for Evaluating Large Vision-Language Models?Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 263 citations
  15. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
  16. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
  17. The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsLucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 259 citations
  18. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishIlias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 256 citations
  19. A Holistic Approach to Undesired Content Detection in the Real WorldTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022 · 254 citations
  20. DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScaleSamyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022 · 254 citations
  21. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPJiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
  22. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 252 citations
  23. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
  24. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersDamai Dai, Yutao Sun, Li Dong, et al.2023 · 252 citations
  25. Societal Biases in Language Generation: Progress and ChallengesEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2021 · 252 citations
  26. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  27. Survey of Low-Resource Machine TranslationBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.2022 · 251 citations
  28. The Curse of Recursion: Training on Generated Data Makes Models ForgetIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 250 citations
  29. Generating Datasets with Pretrained Language ModelsTimo Schick, Hinrich Schutze2021 · 250 citations
  30. Measuring Faithfulness in Chain-of-Thought ReasoningTamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 249 citations
  31. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
  32. SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionBohao Li, Rui Wang, Guangzhi Wang, et al.2023 · 247 citations
  33. Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts ArchitectureJiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan2023 · 246 citations
  34. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  35. Contrastive Decoding: Open-ended Text Generation as OptimizationXiang Lisa Li, Ari Holtzman, Daniel Fried, et al.2022 · 246 citations
  36. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  37. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
  38. MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 244 citations
  39. Hallucinations in Large Multilingual Translation ModelsNuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.2023 · 244 citations
  40. Ignore Previous Prompt: Attack Techniques For Language ModelsFabio Perez, Ian Ribeiro2022 · 244 citations
  41. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
  42. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 243 citations
  43. MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersKrishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 243 citations
  44. Automatic Detection of Machine Generated Text: A Critical SurveyGanesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 243 citations
  45. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
  46. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationJiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 242 citations
  47. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingBradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
  48. Factuality Challenges in the Era of Large Language ModelsIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 241 citations
  49. In-context Examples Selection for Machine TranslationSweta Agrawal, Chunting Zhou, Mike Lewis, et al.2023 · 241 citations
  50. Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-ArtPatrick Lewis, Myle Ott, Jingfei Du, et al.2020 · 240 citations
  51. Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
  52. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  53. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He He2022 · 238 citations
  54. Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic TriggerFanchao Qi, Mukai Li, Yangyi Chen, et al.2021 · 238 citations
  55. Multimodal Few-Shot Learning with Frozen Language ModelsMaria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 238 citations
  56. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationSewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 238 citations
  57. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
  58. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyZeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
  59. Reframing Instructional Prompts to GPTk's LanguageSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 236 citations
  60. Transformers learn in-context by gradient descentJohannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 236 citations
  61. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.2020 · 235 citations
  62. Generative Language Modeling for Automated Theorem ProvingStanislas Polu, Ilya Sutskever2020 · 235 citations
  63. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engageKurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 234 citations
  64. FUDGE: Controlled Text Generation With Future DiscriminatorsKevin Yang, Dan Klein2021 · 234 citations
  65. The Importance of Modeling Social Factors of Language: Theory and PracticeDirk Hovy, Diyi Yang2021 · 234 citations
  66. Evaluating Open-Domain Question Answering in the Era of Large Language ModelsEhsan Kamalloo, Nouha Dziri, Charles Clarke, et al.2023 · 233 citations
  67. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
  68. 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
  69. ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot LearningPetter Tornberg2023 · 230 citations
  70. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving PerformanceLingjiao Chen, Matei Zaharia, James Zou2023 · 229 citations
  71. Detecting Hallucinated Content in Conditional Neural Sequence GenerationChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 229 citations
  72. Hurdles to Progress in Long-form Question AnsweringKalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 227 citations
  73. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  74. What learning algorithm is in-context learning? Investigations with linear modelsEkin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 224 citations
  75. 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
  76. Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  77. A Survey of Hallucination in Large Foundation ModelsVipula Rawte, Amit Sheth, Amitava Das2023 · 221 citations
  78. 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
  79. 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
  80. Steering Language Models With Activation EngineeringAlexander Matt Turner, Lisa Thiergart, Gavin Leech, et al.2023 · 220 citations
  81. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
  82. Transformer Memory as a Differentiable Search IndexYi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.2022 · 220 citations
  83. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
  84. Med-HALT: Medical Domain Hallucination Test for Large Language ModelsAnkit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2023 · 219 citations
  85. 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
  86. Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 219 citations
  87. Multilingual Translation from Denoising Pre-TrainingYuqing Tang, Chau Tran, Xian Li, et al.2021 · 219 citations
  88. Qwen2.5-Omni Technical ReportJin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 218 citations
  89. 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
  90. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
  91. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
  92. Making Language Models Better Reasoners with Step-Aware VerifierYifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 216 citations
  93. Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language ModelsRobert Logan IV, Ivana Balazevic, Eric Wallace, et al.2022 · 215 citations
  94. Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.2023 · 212 citations
  95. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
  96. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 citations
  97. An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language ModelsNicholas Meade, Elinor Poole-Dayan, Siva Reddy2022 · 211 citations
  98. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPOmar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 211 citations
  99. Teaching language models to support answers with verified quotesJacob Menick, Maja Trebacz, Vladimir Mikulik, et al.2022 · 211 citations
  100. 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

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