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Who cites Girish Sastry

14,053 citations of their works from 13,359 papers of our library (of the 140,884 whose bibliographies we read) · 878 with a page here, the most cited first · page 4 of 9 · 301–400 · ← Girish Sastry

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  1. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersZhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 301 citations
  2. Character-LLM: A Trainable Agent for Role-PlayingYunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 300 citations
  3. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferTu Vu, Brian Lester, Noah Constant, et al.2022 · 300 citations
  4. InternLM2 Technical ReportZheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 299 citations
  5. Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 298 citations
  6. Want To Reduce Labeling Cost? GPT-3 Can HelpShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 298 citations
  7. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
  8. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 296 citations
  9. Multimodal Chain-of-Thought Reasoning in Language ModelsZhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 296 citations
  10. Document-Level Machine Translation with Large Language ModelsLongyue Wang, Chenyang Lyu, Tianbo Ji, et al.2023 · 295 citations
  11. Entity-Based Knowledge Conflicts in Question AnsweringShayne Longpre, Kartik Perisetla, Anthony Chen, et al.2021 · 295 citations
  12. AdapterDrop: On the Efficiency of Adapters in TransformersAndreas Rücklé, Gregor Geigle, Max Glockner, et al.2021 · 294 citations
  13. Prompting Large Language Model for Machine Translation: A Case StudyBiao Zhang, Barry Haddow, Alexandra Birch2023 · 293 citations
  14. Text Classification via Large Language ModelsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  15. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 290 citations
  16. Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceTal Schuster, Adam Fisch, Regina Barzilay2021 · 289 citations
  17. Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
  18. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageAndy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 285 citations
  19. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsMinghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 281 citations
  20. MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 281 citations
  21. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
  22. Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical StudyYong Cao, Li Zhou, Seolhwa Lee, et al.2023 · 278 citations
  23. OpenPrompt: An Open-source Framework for Prompt-learningNing Ding, Shengding Hu, Weilin Zhao, et al.2022 · 278 citations
  24. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  25. 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
  26. 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
  27. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
  28. Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
  29. 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
  30. Corrective Retrieval Augmented GenerationShi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 271 citations
  31. Surface Form Competition: Why the Highest Probability Answer Isn't Always RightAri Holtzman, Peter West, Vered Shwartz, et al.2021 · 271 citations
  32. Reducing Activation Recomputation in Large Transformer ModelsVijay Korthikanti, Jared Casper, Sangkug Lym, et al.2022 · 270 citations
  33. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsTarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 268 citations
  34. An Explanation of In-context Learning as Implicit Bayesian InferenceSang Michael Xie, Aditi Raghunathan, Percy Liang, et al.2021 · 268 citations
  35. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 267 citations
  36. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 267 citations
  37. Scaling Laws for Reward Model OveroptimizationLeo Gao, John Schulman, Jacob Hilton2022 · 266 citations
  38. CUAD: An Expert-Annotated NLP Dataset for Legal Contract ReviewDan Hendrycks, Collin Burns, Anya Chen, et al.2021 · 265 citations
  39. Are We on the Right Way for Evaluating Large Vision-Language Models?Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 263 citations
  40. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
  41. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
  42. The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsLucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 259 citations
  43. 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
  44. Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, et al.2023 · 254 citations
  45. A Holistic Approach to Undesired Content Detection in the Real WorldTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022 · 254 citations
  46. 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
  47. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPJiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
  48. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 252 citations
  49. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
  50. 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
  51. Societal Biases in Language Generation: Progress and ChallengesEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2021 · 252 citations
  52. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  53. Survey of Low-Resource Machine TranslationBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.2022 · 251 citations
  54. The Curse of Recursion: Training on Generated Data Makes Models ForgetIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 250 citations
  55. Generating Datasets with Pretrained Language ModelsTimo Schick, Hinrich Schutze2021 · 250 citations
  56. Measuring Faithfulness in Chain-of-Thought ReasoningTamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 249 citations
  57. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
  58. SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionBohao Li, Rui Wang, Guangzhi Wang, et al.2023 · 247 citations
  59. 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
  60. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  61. Contrastive Decoding: Open-ended Text Generation as OptimizationXiang Lisa Li, Ari Holtzman, Daniel Fried, et al.2022 · 246 citations
  62. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  63. 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
  64. MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 244 citations
  65. Hallucinations in Large Multilingual Translation ModelsNuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.2023 · 244 citations
  66. Ignore Previous Prompt: Attack Techniques For Language ModelsFabio Perez, Ian Ribeiro2022 · 244 citations
  67. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
  68. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 243 citations
  69. MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersKrishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 243 citations
  70. Automatic Detection of Machine Generated Text: A Critical SurveyGanesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 243 citations
  71. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
  72. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationJiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 242 citations
  73. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingBradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
  74. Factuality Challenges in the Era of Large Language ModelsIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 241 citations
  75. In-context Examples Selection for Machine TranslationSweta Agrawal, Chunting Zhou, Mike Lewis, et al.2023 · 241 citations
  76. 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
  77. Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
  78. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  79. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He He2022 · 238 citations
  80. Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic TriggerFanchao Qi, Mukai Li, Yangyi Chen, et al.2021 · 238 citations
  81. Multimodal Few-Shot Learning with Frozen Language ModelsMaria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 238 citations
  82. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationSewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 238 citations
  83. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
  84. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 236 citations
  85. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyZeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
  86. Reframing Instructional Prompts to GPTk's LanguageSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 236 citations
  87. Transformers learn in-context by gradient descentJohannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 236 citations
  88. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.2020 · 235 citations
  89. Generative Language Modeling for Automated Theorem ProvingStanislas Polu, Ilya Sutskever2020 · 235 citations
  90. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engageKurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 234 citations
  91. SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationElisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.2022 · 234 citations
  92. FUDGE: Controlled Text Generation With Future DiscriminatorsKevin Yang, Dan Klein2021 · 234 citations
  93. The Importance of Modeling Social Factors of Language: Theory and PracticeDirk Hovy, Diyi Yang2021 · 234 citations
  94. Evaluating Open-Domain Question Answering in the Era of Large Language ModelsEhsan Kamalloo, Nouha Dziri, Charles Clarke, et al.2023 · 233 citations
  95. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
  96. 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
  97. ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot LearningPetter Tornberg2023 · 230 citations
  98. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving PerformanceLingjiao Chen, Matei Zaharia, James Zou2023 · 229 citations
  99. Detecting Hallucinated Content in Conditional Neural Sequence GenerationChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 229 citations
  100. Hurdles to Progress in Long-form Question AnsweringKalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 227 citations

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