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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 5 of 9 · 401–500 · ← Girish Sastry

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  1. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  2. What learning algorithm is in-context learning? Investigations with linear modelsEkin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 224 citations
  3. 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
  4. Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  5. A Survey of Hallucination in Large Foundation ModelsVipula Rawte, Amit Sheth, Amitava Das2023 · 221 citations
  6. 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
  7. 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
  8. Steering Language Models With Activation EngineeringAlexander Matt Turner, Lisa Thiergart, Gavin Leech, et al.2023 · 220 citations
  9. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
  10. Transformer Memory as a Differentiable Search IndexYi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.2022 · 220 citations
  11. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
  12. Med-HALT: Medical Domain Hallucination Test for Large Language ModelsAnkit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2023 · 219 citations
  13. 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
  14. Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 219 citations
  15. Multilingual Translation from Denoising Pre-TrainingYuqing Tang, Chau Tran, Xian Li, et al.2021 · 219 citations
  16. Qwen2.5-Omni Technical ReportJin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 218 citations
  17. 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
  18. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
  19. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
  20. Making Language Models Better Reasoners with Step-Aware VerifierYifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 216 citations
  21. Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language ModelsRobert Logan IV, Ivana Balazevic, Eric Wallace, et al.2022 · 215 citations
  22. Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.2023 · 212 citations
  23. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
  24. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 citations
  25. An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language ModelsNicholas Meade, Elinor Poole-Dayan, Siva Reddy2022 · 211 citations
  26. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPOmar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 211 citations
  27. Teaching language models to support answers with verified quotesJacob Menick, Maja Trebacz, Vladimir Mikulik, et al.2022 · 211 citations
  28. 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
  29. LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersParishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 209 citations
  30. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  31. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical ReasoningPan Lu, Liang Qiu, Kai-Wei Chang, et al.2022 · 209 citations
  32. Compressing Context to Enhance Inference Efficiency of Large Language ModelsYucheng Li, Bo Dong, Frank Guerin, et al.2023 · 208 citations
  33. Sources of Hallucination by Large Language Models on Inference TasksNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 208 citations
  34. Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine TranslationHaoran Xu, Amr Sharaf, Yunmo Chen, et al.2024 · 207 citations
  35. Progress measures for grokking via mechanistic interpretabilityNeel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 207 citations
  36. Ring Attention with Blockwise Transformers for Near-Infinite ContextHao Liu, Matei Zaharia, Pieter Abbeel2023 · 207 citations
  37. Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
  38. Active Example Selection for In-Context LearningYiming Zhang, Shi Feng, Chenhao Tan2022 · 207 citations
  39. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLPTimo Schick, Sahana Udupa, Hinrich Schutze2021 · 207 citations
  40. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsYen-Ting Lin, Yun-Nung Chen2023 · 206 citations
  41. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingYu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 206 citations
  42. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  43. Challenges in Detoxifying Language ModelsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 206 citations
  44. On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?Nouha Dziri, Sivan Milton, Mo Yu, et al.2022 · 205 citations
  45. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 204 citations
  46. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyBo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 204 citations
  47. Internet-augmented language models through few-shot prompting for open-domain question answeringAngeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, et al.2022 · 204 citations
  48. Towards a Unified Multi-Dimensional Evaluator for Text GenerationMing Zhong, Yang Liu, Da Yin, et al.2022 · 204 citations
  49. On the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationRuidan He, Linlin Liu, Hai Ye, et al.2021 · 204 citations
  50. mGPT: Few-Shot Learners Go MultilingualOleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.2022 · 203 citations
  51. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citations
  52. SALMONN: Towards Generic Hearing Abilities for Large Language ModelsChangli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 202 citations
  53. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  54. Autoformalization with Large Language ModelsYuhuai Wu, Albert Q. Jiang, Wenda Li, et al.2022 · 202 citations
  55. DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationMojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.2023 · 201 citations
  56. Recursively Summarizing Books with Human FeedbackJeff Wu, Long Ouyang, Daniel M. Ziegler, et al.2021 · 201 citations
  57. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  58. CTRLsum: Towards Generic Controllable Text SummarizationJunxian He, Wojciech Kryscinski, Bryan McCann, et al.2022 · 199 citations
  59. Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetKe Wang, Junting Pan, Weikang Shi, et al.2024 · 198 citations
  60. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  61. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 198 citations
  62. Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsSuyu Ge, Yunan Zhang, Liyuan Liu, et al.2023 · 198 citations
  63. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchDan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 197 citations
  64. Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
  65. Improving Passage Retrieval with Zero-Shot Question GenerationDevendra Sachan, Mike Lewis, Mandar Joshi, et al.2022 · 197 citations
  66. The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningXi Ye, Greg Durrett2022 · 196 citations
  67. What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
  68. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionXiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
  69. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsZheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
  70. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextOri Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 193 citations
  71. OmniQuant: Omnidirectionally Calibrated Quantization for Large Language ModelsWenqi Shao, Mengzhao Chen, Zhaoyang Zhang, et al.2023 · 193 citations
  72. LLM in a flash: Efficient Large Language Model Inference with Limited MemoryKeivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, et al.2024 · 192 citations
  73. 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
  74. Towards Making the Most of ChatGPT for Machine TranslationKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
  75. Challenges in Automated Debiasing for Toxic Language DetectionXuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.2021 · 190 citations
  76. GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerUrchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.2024 · 189 citations
  77. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationYidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 189 citations
  78. When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language ModelsBenjamin Muller, Antonios Anastasopoulos, Benoît Sagot, et al.2021 · 189 citations
  79. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
  80. SGPT: GPT Sentence Embeddings for Semantic SearchNiklas Muennighoff2022 · 187 citations
  81. Adaptive Machine Translation with Large Language ModelsYasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.2023 · 186 citations
  82. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsZekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 186 citations
  83. SemEval-2023 Task 10: Explainable Detection of Online SexismHannah Kirk, Wenjie Yin, Bertie Vidgen, et al.2023 · 185 citations
  84. 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
  85. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
  86. Preference Ranking Optimization for Human AlignmentFeifan Song, Bowen Yu, Minghao Li, et al.2023 · 183 citations
  87. Re2G: Retrieve, Rerank, GenerateMichael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 183 citations
  88. Large Language Models are few(1)-shot Table ReasonersWenhu Chen2023 · 182 citations
  89. Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language ModelsYunfei Chu, Jin Xu, Xiaohuan Zhou, et al.2023 · 182 citations
  90. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsArchiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 180 citations
  91. Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningFuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 180 citations
  92. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  93. Adapting Language Models to Compress ContextsAlexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 179 citations
  94. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 179 citations
  95. Eliciting Latent Predictions from Transformers with the Tuned LensNora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 179 citations
  96. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  97. On the Risk of Misinformation Pollution with Large Language ModelsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 177 citations
  98. ToolQA: A Dataset for LLM Question Answering with External ToolsYuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 177 citations
  99. 8-bit Optimizers via Block-wise QuantizationTim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 177 citations
  100. RealTime QA: What's the Answer Right Now?Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 176 citations

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