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Denny Zhou

  1. Emergent Abilities of Large Language Models
    2022/06/15 by Jason Wei, Wei, Jason, Yi Tay +30 · 17 voices · 308 citations
    Computer Science · #Topic Modeling #Machine Learning and Data Classification #Machine Learning and Algorithms
  2. BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
    2022/01/28 by Jason Wei, Xuezhi Wang, Wei, Jason +17 · 18 voices · 2681 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI #cs.CL
  3. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 677 citations
    Computer Science · #Semantic Web and Ontologies
  4. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1393 citations
    #cs.CL #cs.AI
  5. Large Language Models as Optimizers
    2023/09/07 by Chengrun Yang, Yang, Chengrun, Xuezhi Wang +11 · 4 voices · 148 citations
    Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling #cs.AI #cs.CL #cs.LG
  6. Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
    2024/02/20 by Zhiyuan Li, Hong Liu, Li, Zhiyuan +5 · 8 voices · 68 citations
    Computer Science · #Parallel Computing and Optimization Techniques #cs.CC #cs.LG #stat.ML
  7. Teaching Large Language Models to Self-Debug
    2023/04/11 by Xinyun Chen, Maxwell Lin, Chen, Xinyun +5 · 2 voices · 151 citations
    Computer Science · #Software Engineering Research #Parallel Computing and Optimization Techniques #Topic Modeling
  8. Chain-of-Thought Reasoning Without Prompting
    2024/02/15 by Xuezhi Wang, Wang, Xuezhi, Denny Zhou +1 · 6 voices · 53 citations
    Computer Science · #Logic, Reasoning, and Knowledge #cs.CL
  9. What learning algorithm is in-context learning? Investigations with linear models
    2022/11/28 by Ekin Akyürek, Akyürek, Ekin, Dale Schuurmans +7 · 3 voices · 80 citations
    Computer Science · #Neural Networks and Applications #cs.CL #cs.LG
  10. PaLM: Scaling Language Modeling with Pathways
    2022/04/05 by Aakanksha Chowdhery, Chowdhery, Aakanksha, Sharan Narang +129 · 487 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  11. Scaling Instruction-Finetuned Language Models
    2022/10/20 by Hyung Won Chung, Chung, Hyung Won, Le Hou +62 · 294 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  12. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
    2022/10/17 by Mirac Süzgün, Nathan Scales, Suzgun, Mirac +18 · 281 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  13. Self-Discover: Large Language Models Self-Compose Reasoning Structures
    2024/02/06 by Pei Zhou, Zhou, Pei, Jay Pujara +19 · 4 voices · 23 citations
    Computer Science · #Topic Modeling #cs.AI #cs.CL
  14. Neural Logic Machines
    2019/04/26 by Honghua Dong, Dong, Honghua, Jiayuan Mao +9 · 2 voices · 20 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.LG #stat.ML
  15. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
    2022/05/21 by Denny Zhou, Nathanael Schärli, Zhou, Denny +18 · 190 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  16. Instruction-Following Evaluation for Large Language Models
    2023/11/14 by Jeffrey Zhou, Zhou, Jeffrey, Tianjian Lu +13 · 219 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  17. Large Language Models as Tool Makers
    2023/05/26 by Tianle Cai, Cai, Tianle, Xuezhi Wang +7 · 2 voices · 32 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG #stat.ML
  18. Large Language Models Cannot Self-Correct Reasoning Yet
    2023/10/03 by Jie Huang, Huang, Jie, Xinyun Chen +11 · 146 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  19. Transcending Scaling Laws with 0.1% Extra Compute
    2022/10/20 by Yi Tay, Tay, Yi, Jason Wei +31 · 2 voices · 3 citations
    Computer Science · #cs.CL #cs.AI #cs.LG
  20. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Rohan Anil, Gemini Team +2692 · 9 voices · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
  21. Language Models are Multilingual Chain-of-Thought Reasoners
    2022/10/06 by Freda Shi, Shi, Freda, Mirac Süzgün +20 · 77 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  22. The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
    2023/01/31 by Shayne Longpre, Longpre, Shayne, Le Hou +18 · 80 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning and Data Classification
  23. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
    2023/05/24 by Sheng Shen, Le Hou, Shen, Sheng +37 · 2 voices · 9 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
  24. FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
    2023/10/05 by Tu Vu, Mohit Iyyer, Vu, Tu +19 · 3 voices · 45 citations
    #cs.CL
  25. Simple synthetic data reduces sycophancy in large language models
    2023/08/07 by Jerry Wei, Wei, Jerry, Da Huang +7 · 1 voice · 21 citations
    Computer Science · #Hate Speech and Cyberbullying Detection #Multimodal Machine Learning Applications #Topic Modeling #cs.CL
  26. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
    2020/04/06 by Zhiqing Sun, Hongkun Yu, Sun, Zhiqing +9 · 46 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  27. Universal Self-Consistency for Large Language Model Generation
    2023/11/29 by Xinyun Chen, Chen, Xinyun, Renat Aksitov +17 · 48 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  28. Large Language Models as Analogical Reasoners
    2023/10/03 by Michihiro Yasunaga, Yasunaga, Michihiro, Xinyun Chen +14 · 2 voices · 29 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  29. Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
    2023/10/09 by Huaixiu Zheng, Zheng, Huaixiu Steven, Swaroop Mishra +11 · 2 voices · 30 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  30. Larger language models do in-context learning differently
    2023/03/07 by Jerry Wei, Wei, Jerry, Wei, Jason +18 · 29 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  31. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
    2023/05/22 by Shayne Longpre, Longpre, Shayne, Gregory Yauney +18 · 30 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
  32. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
    2022/03/15 by Yingwei Li, Adams Wei Yu, Li, Yingwei +23 · 20 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Neural Network Applications #Advanced Optical Sensing Technologies #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  33. NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
    2024/06/06 by Huaixiu Zheng, Swaroop Mishra, Zheng, Huaixiu Steven +19 · 28 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
  34. Transformers Can Achieve Length Generalization But Not Robustly
    2024/02/14 by Yongchao Zhou, Uri Alon, Zhou, Yongchao +9 · 18 citations
    Computer Science · #Neural Networks and Applications
  35. Best Practices and Lessons Learned on Synthetic Data
    2024/04/11 by Ruibo Liu, Jerry Wei, Liu, Ruibo +19 · 2 voices · 11 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  36. Premise Order Matters in Reasoning with Large Language Models
    2024/02/14 by Xinyun Chen, Ryan A. Chi, Chen, Xinyun +5 · 1 voice · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #cs.AI #cs.CL
  37. Symbol tuning improves in-context learning in language models
    2023/05/15 by Jerry Wei, Wei, Jerry, Le Hou +19 · 10 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  38. TEMPERA: Test-Time Prompting via Reinforcement Learning
    2022/11/21 by Tianjun Zhang, Zhang, Tianjun, Xuezhi Wang +7 · 7 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  39. SpreadsheetCoder: Formula Prediction from Semi-structured Context
    2021/06/26 by Xinyun Chen, Chen, Xinyun, Petros Maniatis +11 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Software Engineering (cs.SE) #Spreadsheets and End-User Computing
  40. Rationale-Augmented Ensembles in Language Models
    2022/07/02 by Xuezhi Wang, Wang, Xuezhi, Dale Schuurmans +8 · 4 citations
    Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Advanced Text Analysis Techniques
  41. Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
    2023/05/19 by Zi-Hao Qiu, Quanqi Hu, Qiu, Zi-Hao +9 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Optimization and Control (math.OC) #Text and Document Classification Technologies
  42. Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
    2022/02/24 by Zhuoning Yuan, Yuan, Zhuoning, Yuexin Wu +11 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #MicroRNA in disease regulation #Optimization and Control (math.OC)
  43. Compositional Generalization via Neural-Symbolic Stack Machines
    2020/08/15 by Xinyun Chen, Chen, Xinyun, Liang, Chen +6 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  44. Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
    2020/07/01 by Denny Zhou, Zhou, Denny, Mao Ye +15 · 2 citations
    Computer Science · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques