Sutton, Charles
- Program Synthesis with Large Language Models
2021/08/16 by Jacob Austin, Austin, Jacob, Augustus Odena +21 · 1 voice · 720 citations
Computer Science · #Software Engineering Research #Software Testing and Debugging Techniques #Topic Modeling #cs.LG #cs.PL
- 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
- PaLM: Scaling Language Modeling with Pathways
2022/04/05 by Aakanksha Chowdhery, Chowdhery, Aakanksha, Sharan Narang +129 · 488 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Show Your Work: Scratchpads for Intermediate Computation with Language Models
2021/11/30 by Maxwell Nye, Anders Andreassen, Nye, Maxwell +22 · 105 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Gemini: A Family of Highly Capable Multimodal Models
2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +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
- A Survey of Machine Learning for Big Code and Naturalness
2017/09/18 by Allamanis, Miltiadis, Barr, Earl T., Devanbu, Premkumar +1 · 32 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Software Engineering (cs.SE)
- A Convolutional Attention Network for Extreme Summarization of Source Code
2016/02/09 by Miltiadis Allamanis, Hao Peng, Allamanis, Miltiadis +3 · 35 citations
Computer Science · #Software Engineering Research #Advanced Malware Detection Techniques #Topic Modeling
- 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
- VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
2017/05/22 by Akash Srivastava, Srivastava, Akash, Lazar Valkov +7 · 20 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Computational Physics and Python Applications
- Autoencoding Variational Inference For Topic Models
2017/03/04 by Akash Srivastava, Charles Sutton, Srivastava, Akash +1 · 23 citations
Computer Science · Social Sciences · #Topic Modeling #Computational and Text Analysis Methods #Natural Language Processing Techniques
- NExT: Teaching Large Language Models to Reason about Code Execution
2024/04/23 by Ansong Ni, Ni, Ansong, Miltiadis Allamanis +11 · 2 voices · 8 citations
Computer Science · #cs.LG #cs.CL #cs.PL #cs.SE
- An Introduction to Conditional Random Fields
2010/11/17 by Sutton, Charles, McCallum, Andrew · 10 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Natural Language to Code Generation in Interactive Data Science Notebooks
2022/12/19 by Pengcheng Yin, Wen-Ding Li, Yin, Pengcheng +21 · 20 citations
Computer Science · #Computation and Language (cs.CL) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning and Data Classification #Software Engineering (cs.SE) #Software Engineering Research
- Training Chain-of-Thought via Latent-Variable Inference
2023/11/28 by Du Phan, Matthew D. Hoffman, Phan, Du +17 · 15 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
- Popularity of arXiv.org within Computer Science
2017/10/14 by Charles Sutton, Linan Gong, Sutton, Charles +1 · 1 voice · 2 citations
Computer Science · Decision Sciences · #Data Quality and Management #Research Data Management Practices #Scientific Computing and Data Management #cs.DL
- HOUDINI: Lifelong Learning as Program Synthesis
2018/03/31 by Lazar Valkov, Dipak Chaudhari, Valkov, Lazar +7 · 6 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL)
- Language Model Cascades
2022/07/21 by D. Dohan, Winnie Xu, Dohan, David +21 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
- 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
- Learning Continuous Semantic Representations of Symbolic Expressions
2016/11/04 by Allamanis, Miltiadis, Chanthirasegaran, Pankajan, Kohli, Pushmeet +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- SCELMo: Source Code Embeddings from Language Models
2020/04/28 by Karampatsis, Rafael - Michael, Sutton, Charles · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
2020/07/28 by Odena, Augustus, Shi, Kensen, Bieber, David +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL)
- OptTyper: Probabilistic Type Inference by Optimising Logical and Natural\n Constraints
2020/04/01 by Irene Vlassi Pandi, Earl T. Barr, Pandi, Irene Vlassi +6 · 2 citations
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Programming Languages (cs.PL) #Scientific Computing and Data Management #Software Engineering Research #Topic Modeling
- Improved Dynamic Schedules for Belief Propagation
2012/06/20 by Sutton, Charles, McCallum, Andrew · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
2014/06/15 by Zhang, Yichuan, Sutton, Charles · 1 citation
#Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Scheduled denoising autoencoders
2014/06/12 by Geras, Krzysztof J., Sutton, Charles · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Tailored Mutants Fit Bugs Better
2016/11/08 by Miltiadis Allamanis, Allamanis, Miltiadis, Earl T. Barr +5 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software Testing and Debugging Techniques
- Learning to Execute Programs with Instruction Pointer Attention Graph\n Neural Networks
2020/10/23 by David Bieber, Charles Sutton, Bieber, David +5 · 2 citations
Computer Science · Engineering · Materials Science · #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning in Materials Science #Software Engineering Research
- Learning to Fix Build Errors with Graph2Diff Neural Networks
2019/11/04 by Tarlow, Daniel, Moitra, Subhodeep, Rice, Andrew +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Software Engineering (cs.SE)
- Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
2019/07/15 by Simão Eduardo, Eduardo, Simão, Alfredo Nazábal +5 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis
- Learning to Represent Programs with Property Signatures
2020/02/13 by Odena, Augustus, Sutton, Charles · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL)
- Neural Program Synthesis with a Differentiable Fixer
2020/06/19 by Balog, Matej, Singh, Rishabh, Maniatis, Petros +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
2020/11/10 by Dai, Hanjun, Singh, Rishabh, Dai, Bo +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Couplings for Multinomial Hamiltonian Monte Carlo
2021/04/11 by Kai Xu, Tor Erlend Fjelde, Xu, Kai +5 · 1 citation
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration #Methodology (stat.ME) #Stochastic processes and statistical mechanics
- CrossBeam: Learning to Search in Bottom-Up Program Synthesis
2022/03/20 by Kensen Shi, Hanjun Dai, Shi, Kensen +5 · 1 citation
Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
- Compositional Generalization and Decomposition in Neural Program Synthesis
2022/04/07 by Kensen Shi, Shi, Kensen, Joey Hong +7 · 1 citation
Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
- ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
2023/07/26 by Shi, Kensen, Hong, Joey, Deng, Yinlin +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL)