Percy Liang
- LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
2024/11/15 by Joon Sung Park, Carolyn Q. Zou, Park, Joon Sung +20 · 64 voices · 103 citations
Mathematics · Decision Sciences · #COVID-19 epidemiological studies #Innovation Diffusion and Forecasting
- Generative Agents: Interactive Simulacra of Human Behavior
2023/04/07 by Joon-Sung Park, Joon Sung Park, Park, Joon Sung +10 · 25 voices · 712 citations
Computer Science · #Artificial Intelligence in Games #Multi-Agent Systems and Negotiation
- On the Opportunities and Risks of Foundation Models
2021/08/16 by Rishi Bommasani, Drew A. Hudson, Bommasani, Rishi +233 · 11 voices · 599 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
- Extracting books from production language models
2026/01/06 by Ahmed Ahmed, A. Feder Cooper, Sanmi Koyejo +1 · 65 voices · 2 citations
#cs.CL #cs.AI #cs.LG
- s1: Simple test-time scaling
2025/01/31 by Niklas Muennighoff, Zitong Yang, Muennighoff, Niklas +18 · 30 voices · 412 citations
Engineering · Computer Science · #Fault Detection and Control Systems #Neural Networks and Applications
- Emergent Abilities of Large Language Models
2022/06/15 by Jason Wei, Yi Tay, Wei, Jason +30 · 17 voices · 287 citations
Computer Science · #Topic Modeling #Machine Learning and Data Classification #Machine Learning and Algorithms
- Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
2023/05/23 by Hong Liu, Zhiyuan Li, Liu, Hong +8 · 7 voices · 45 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Neural Network Applications
- Lost in the Middle: How Language Models Use Long Contexts
2023/07/06 by Nelson F. Liu, Liu, Nelson F., Kevin Lin +12 · 10 voices · 653 citations
Computer Science · #Advanced Graph Neural Networks #Natural Language Processing Techniques #Topic Modeling #cs.CL
- Extracting memorized pieces of (copyrighted) books from open-weight language models
2025/05/18 by A. Feder Cooper, Mark A. Lemley, Cooper, A. Feder +16 · 28 voices · 13 citations
Computer Science · Social Sciences · #Law, AI, and Intellectual Property #Artificial Intelligence in Law #Explainable Artificial Intelligence (XAI)
- FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
2023/03/13 by Ying Sheng, Sheng, Ying, Lianmin Zheng +25 · 2 voices · 96 citations
Computer Science · Engineering · Materials Science · #Ferroelectric and Negative Capacitance Devices #Machine Learning in Materials Science #Topic Modeling #cs.AI #cs.LG #cs.PF
- Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
2025/12/10 by Justin W. Lin, Eliot Krzysztof Jones, Lin, Justin W. +25 · 24 voices · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Information and Cyber Security #Web Application Security Vulnerabilities #cs.AI #cs.CR #cs.CY
- Learning a SAT Solver from Single-Bit Supervision
2018/02/11 by Daniel Selsam, Selsam, Daniel, Matthew Lamm +9 · 1 voice · 46 citations
Computer Science · Decision Sciences · #Constraint Satisfaction and Optimization #Software Engineering Research #Auction Theory and Applications
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
2022/06/09 by Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448 · 3 voices · 146 citations
#cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
- Whose Opinions Do Language Models Reflect?
2023/03/30 by Shibani Santurkar, Esin Durmus, Santurkar, Shibani +9 · 2 voices · 134 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Topic Modeling #cs.AI #cs.CL #cs.CY #cs.LG
- Prefix-Tuning: Optimizing Continuous Prompts for Generation
2021/01/01 by Xiang Lisa Li, Li, Xiang Lisa, Percy Liang +1 · 377 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- OpenVLA: An Open-Source Vision-Language-Action Model
2024/06/13 by Moo Jin Kim, Kim, Moo Jin, Karl Pertsch +33 · 662 citations
Computer Science · #Semantic Web and Ontologies
- Evaluating Verifiability in Generative Search Engines
2023/04/19 by Nelson F. Liu, Tianyi Zhang, Liu, Nelson F. +3 · 5 voices · 36 citations
Computer Science · Social Sciences · #Information Retrieval and Search Behavior #Misinformation and Its Impacts #Topic Modeling #cs.CL #cs.IR
- Understanding Black-box Predictions via Influence Functions
2017/03/14 by Pang Wei Koh, Percy Liang, Koh, Pang Wei +1 · 245 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Prefix-Tuning: Optimizing Continuous Prompts for Generation
2021/01/01 by Xiang Lisa Li, Percy Liang · 280 citations
Computer Science · #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Pre-training under infinite compute
2025/09/18 by Konwoo Kim, Suhas Kotha, Kim, Konwoo +5 · 7 voices · 5 citations
Computer Science · #Topic Modeling #Machine Learning and Data Classification #Natural Language Processing Techniques
- Foundation Models and Fair Use
2023/03/28 by Peter Henderson, Henderson, Peter, Xuechen Li +9 · 7 voices · 14 citations
Business, Management and Accounting · Computer Science · #Copyright and Intellectual Property #Digital Rights Management and Security #Law, AI, and Intellectual Property #cs.AI #cs.CY #cs.LG
- CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
2022/01/18 by Mina Lee, Percy Liang, Qian Yang · 1 voice · 34 citations
#cs.HC #cs.CL
- Concept Bottleneck Models
2020/07/09 by Pang Wei Koh, Thao Nguyen, Koh, Pang Wei +11 · 146 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Bioinformatics #Metabolomics and Mass Spectrometry Studies #Machine Learning in Healthcare
- Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
2019/11/20 by Shiori Sagawa, Pang Wei Koh, Sagawa, Shiori +5 · 153 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Developing Bug-Free Machine Learning Systems With Formal Mathematics
2017/06/26 by Daniel Selsam, Percy Liang, Selsam, Daniel +3 · 2 voices · 2 citations
Computer Science · #Computability, Logic, AI Algorithms #Parallel Computing and Optimization Techniques #Machine Learning and Algorithms
- Compositional Semantic Parsing on Semi-Structured Tables
2015/08/03 by Panupong Pasupat, Pasupat, Panupong, Percy Liang +1 · 93 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
- WILDS: A Benchmark of in-the-Wild Distribution Shifts
2020/12/14 by Pang Wei Koh, Koh, Pang Wei, Shiori Sagawa +43 · 114 citations
Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Strategies for Pre-training Graph Neural Networks
2019/05/29 by Weihua Hu, Hu, Weihua, Bowen Liu +11 · 106 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Topic Modeling #Machine Learning in Materials Science
- What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
2022/08/01 by Shivam Garg, Dimitris Tsipras, Garg, Shivam +5 · 2 voices · 92 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
- An Explanation of In-context Learning as Implicit Bayesian Inference
2021/11/03 by Sang Michael Xie, Aditi Raghunathan, Xie, Sang Michael +5 · 93 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
2024/04/06 by Yann Dubois, Dubois, Yann, Balázs Galambosi +5 · 144 citations
Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
- Contrastive Decoding: Open-ended Text Generation as Optimization
2022/10/27 by Xiang Lisa Li, Li, Xiang Lisa, Ari Holtzman +12 · 87 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
- Fantastic Pretraining Optimizers and Where to Find Them
2025/09/02 by Kaiyue Wen, David Hall, Wen, Kaiyue +5 · 5 voices · 26 citations
#cs.LG #cs.AI #stat.ML
- Benchmarking Large Language Models for News Summarization
2023/01/31 by Tianyi Zhang, Zhang, Tianyi, Faisal Ladhak +9 · 2 voices · 53 citations
#cs.CL #cs.AI #cs.LG
- Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
2022/02/21 by Ananya Kumar, Aditi Raghunathan, Kumar, Ananya +7 · 60 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging and Analysis
- AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
2023/05/22 by Yann Dubois, Dubois, Yann, Xuechen Li +15 · 72 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 #Machine Learning (cs.LG) #Topic Modeling
- Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
2018/02/24 by Evan Zheran Liu, Kelvin Guu, Liu, Evan Zheran +7 · 39 citations
Computer Science · #Data Stream Mining Techniques #Reinforcement Learning in Robotics #Mobile Crowdsensing and Crowdsourcing
- Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
2024/02/12 by Siddharth Karamcheti, Suraj Nair, Karamcheti, Siddharth +9 · 83 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Designing and Interpreting Probes with Control Tasks
2019/09/08 by John Hewitt, Hewitt, John, Percy Liang +1 · 42 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
2023/05/17 by Sang Michael Xie, Xie, Sang Michael, Hieu Pham +17 · 64 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Large Language Models Can Be Strong Differentially Private Learners
2021/10/12 by Xuechen Li, Florian Tramèr, Li, Xuechen +5 · 48 citations
Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
- Just Train Twice: Improving Group Robustness without Training Group\n Information
2021/07/19 by Evan Liu, Behzad Haghgoo, Liu, Evan Zheran +15 · 46 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- Data Selection for Language Models via Importance Resampling
2023/02/06 by Sang Michael Xie, Xie, Sang Michael, Shibani Santurkar +5 · 54 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech Recognition and Synthesis
- Selection via Proxy: Efficient Data Selection for Deep Learning
2019/06/26 by Cody Coleman, Coleman, Cody, Christopher Yeh +13 · 36 citations
Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Adversarial Examples for Evaluating Reading Comprehension Systems
2017/07/23 by Robin Jia, Percy Liang, Jia, Robin +1 · 38 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- SPoC: Search-based Pseudocode to Code
2019/06/12 by Sumith Kulal, Panupong Pasupat, Kulal, Sumith +11 · 33 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
- MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
2023/10/05 by Qian Huang, Huang, Qian, Jian Vora +5 · 56 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- Robust Distortion-free Watermarks for Language Models
2023/07/28 by Rohith Kuditipudi, John Thickstun, Kuditipudi, Rohith +5 · 52 citations
Computer Science · #Topic Modeling #Handwritten Text Recognition Techniques #Speech Recognition and Synthesis
- Decentralized Training of Foundation Models in Heterogeneous Environments
2022/06/02 by Binhang Yuan, Yongjun He, Yuan, Binhang +16 · 1 voice · 12 citations
Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC) #cs.DC #cs.LG
- Social Simulacra: Creating Populated Prototypes for Social Computing Systems
2022/08/08 by Joon-Sung Park, Lindsay Popowski, Park, Joon Sung +9 · 40 citations
Computer Science · Social Sciences · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Innovative Human-Technology Interaction #Knowledge Management and Sharing #Persona Design and Applications
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
2022/12/28 by Omar Khattab, Keshav Santhanam, Khattab, Omar +11 · 38 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Fairness Without Demographics in Repeated Loss Minimization
2018/06/20 by Tatsunori Hashimoto, Hashimoto, Tatsunori B., Megha Srivastava +5 · 27 citations
Social Sciences · Health Professions · Mathematics · #Retirement, Disability, and Employment #Global Health Care Issues #Advanced Causal Inference Techniques
- On the Societal Impact of Open Foundation Models
2024/02/27 by Sayash Kapoor, Rishi Bommasani, Kapoor, Sayash +49 · 1 voice · 16 citations
Computer Science · Engineering · #3D Modeling in Geospatial Applications #Artificial Intelligence (cs.AI) #BIM and Construction Integration #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CY #cs.LG
- QuAC : Question Answering in Context
2018/08/21 by Eunsol Choi, Choi, Eunsol, He He +13 · 23 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
2024/12/09 by A. Feder Cooper, Cooper, A. Feder, Christopher A. Choquette-Choo +75 · 5 voices · 11 citations
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CY #cs.LG
- RedPajama: an Open Dataset for Training Large Language Models
2024/11/19 by Maurice Weber, Daniel Fu, Weber, Maurice +34 · 65 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling
- Large Language Models as Analogical Reasoners
2023/10/03 by Michihiro Yasunaga, Xinyun Chen, Yasunaga, Michihiro +14 · 2 voices · 26 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling
- Dropout Training as Adaptive Regularization
2013/07/04 by Stefan Wager, Sida Wang, Wager, Stefan +3 · 20 citations
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Methodology (stat.ME)
- On the Accuracy of Influence Functions for Measuring Group Effects
2019/05/30 by Pang Wei Koh, Kai-Siang Ang, Koh, Pang Wei +5 · 20 citations
Computer Science · Social Sciences · Decision Sciences · #Advanced Statistical Modeling Techniques #Computational and Text Analysis Methods #Psychometric Methodologies and Testing
- Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation
2025/10/13 by Sayash Kapoor, Benedikt Stroebl, Kapoor, Sayash +63 · 3 voices · 10 citations
Computer Science · #Multi-Agent Systems and Negotiation
- Decoupling Strategy and Generation in Negotiation Dialogues
2018/08/29 by He He, Derek Chen, He, He +5 · 16 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- LinkBERT: Pretraining Language Models with Document Links
2022/03/29 by Michihiro Yasunaga, Yasunaga, Michihiro, Jure Leskovec +3 · 22 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations
2020/05/09 by Shiori Sagawa, Aditi Raghunathan, Sagawa, Shiori +5 · 21 citations
Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Evolutionary Algorithms and Applications
- Certified Defenses for Data Poisoning Attacks
2017/06/09 by Jacob Steinhardt, Steinhardt, Jacob, Pang Wei Koh +3 · 16 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
- Language-Driven Representation Learning for Robotics
2023/02/24 by Siddharth Karamcheti, Suraj Nair, Karamcheti, Siddharth +11 · 22 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
- Accuracy on the Line: On the Strong Correlation Between\n Out-of-Distribution and In-Distribution Generalization
2021/07/09 by J. J. Miller, Miller, John, Rohan Taori +15 · 17 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Unlabeled Data Improves Adversarial Robustness
2019/05/31 by Yair Carmon, Carmon, Yair, Aditi Raghunathan +7 · 20 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- Selective Question Answering under Domain Shift
2020/06/16 by Amita Kamath, Robin Jia, Kamath, Amita +3 · 15 citations
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
2024/08/15 by Andy K. Zhang, Zhang, Andy K., Neil Perry +51 · 32 citations
Computer Science · #Information and Cyber Security
- Ecosystem Graphs: The Social Footprint of Foundation Models
2023/03/28 by Rishi Bommasani, Dilara Soylu, Thomas I. Liao +2 · 1 voice · 5 citations
#cs.LG #cs.AI #cs.CY
- Distributionally Robust Language Modeling
2019/09/04 by Yonatan Oren, Oren, Yonatan, Shiori Sagawa +5 · 12 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- Certified Robustness to Adversarial Word Substitutions
2019/09/03 by Robin Jia, Jia, Robin, Aditi Raghunathan +5 · 15 citations
Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Hate Speech and Cyberbullying Detection
- Spectral Experts for Estimating Mixtures of Linear Regressions
2013/06/17 by Arun Tejasvi Chaganty, Chaganty, Arun Tejasvi, Percy Liang +1 · 11 citations
Mathematics · Engineering · Computer Science · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques #Gaussian Processes and Bayesian Inference
- PRODIGY: Enabling In-context Learning Over Graphs
2023/05/21 by Qian Huang, Huang, Qian, Hong‐Yu Ren +11 · 16 citations
Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Multimodal Machine Learning Applications
- Naturalizing a Programming Language via Interactive Learning
2017/04/23 by Sida I. Wang, Samuel Ginn, Wang, Sida I. +5 · 2 voices
#cs.CL #cs.AI #cs.HC #cs.LG
- Lambda Dependency-Based Compositional Semantics
2013/09/17 by Percy Liang, Liang, Percy · 10 citations
Computer Science · #Semantic Web and Ontologies #Logic, Reasoning, and Knowledge #Natural Language Processing Techniques
- Retrieval-Augmented Multimodal Language Modeling
2022/11/22 by Michihiro Yasunaga, Yasunaga, Michihiro, Armen Aghajanyan +14 · 13 citations
Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Topic Modeling
- BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
2024/05/27 by Yusuf Roohani, Roohani, Yusuf, Qian Huang +13 · 21 citations
Computer Science · #Evolutionary Algorithms and Applications
- A Safe Harbor for AI Evaluation and Red Teaming
2024/03/07 by Shayne Longpre, Longpre, Shayne, Sayash Kapoor +43 · 1 voice · 16 citations
Computer Science · #Explainable Artificial Intelligence (XAI)
- AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies
2024/07/11 by Yi Zeng, Zeng, Yi, Yu Yang +21 · 1 voice · 18 citations
#cs.CY #cs.AI
- Evaluating Human-Language Model Interaction
2022/12/19 by Mina Lee, Megha Srivastava, Lee, Mina +33 · 12 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
- Semidefinite relaxations for certifying robustness to adversarial\n examples
2018/11/02 by Aditi Raghunathan, Raghunathan, Aditi, Jacob Steinhardt +3 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
2022/11/25 by Rishi Bommasani, Bommasani, Rishi, Kathleen Creel +7 · 11 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AutoBencher: Towards Declarative Benchmark Construction
2024/07/11 by Xiang Lisa Li, Farzaan Kaiyom, Li, Xiang Lisa +9 · 1 voice · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
- VHELM: A Holistic Evaluation of Vision Language Models
2024/10/09 by Tong Lee, Haoqin Tu, Lee, Tony +19 · 21 citations
Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Categorization, perception, and language #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Multimodal Machine Learning Applications
- Understanding Self-Training for Gradual Domain Adaptation
2020/02/26 by Ananya Kumar, Tengyu Ma, Kumar, Ananya +3 · 8 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Introducing v0.5 of the AI Safety Benchmark from MLCommons
2024/04/18 by Bertie Vidgen, Adarsh Agrawal, Vidgen, Bertie +202 · 2 voices · 10 citations
Computer Science · #Adversarial Robustness in Machine Learning
- Data Recombination for Neural Semantic Parsing
2016/06/11 by Robin Jia, Percy Liang, Jia, Robin +1 · 8 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Break-It-Fix-It: Unsupervised Learning for Program Repair
2021/06/11 by Michihiro Yasunaga, Percy Liang, Yasunaga, Michihiro +1 · 7 citations
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Software Engineering (cs.SE)
- Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
2020/02/25 by Aditi Raghunathan, Raghunathan, Aditi, Sang Michael Xie +7 · 6 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning Dependency-Based Compositional Semantics
2011/09/30 by Percy Liang, Liang, Percy, Michael I. Jordan +3 · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
- Anticipatory Music Transformer
2023/06/14 by John Thickstun, David C. Hall, Thickstun, John +5 · 9 citations
Computer Science · Neuroscience · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music Technology and Sound Studies #Music and Audio Processing #Neuroscience and Music Perception #Sound (cs.SD) #electronic engineering #information engineering
- Model Equality Testing: Which Model Is This API Serving?
2024/10/26 by Irena Gao, Gao, Irena, Percy Liang +3 · 13 citations
Computer Science · #Software Testing and Debugging Techniques #Software Reliability and Analysis Research #Software System Performance and Reliability
- Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
2020/05/20 by Michihiro Yasunaga, Percy Liang, Yasunaga, Michihiro +1 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL) #Software Engineering (cs.SE) #Software Engineering Research #Software System Performance and Reliability #Software Testing and Debugging Techniques
- Simpler Context-Dependent Logical Forms via Model Projections
2016/06/16 by Reginald Long, Long, Reginald, Panupong Pasupat +3 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Codified audio language modeling learns useful representations for music information retrieval
2021/07/12 by Rodrigo Castellon, Castellon, Rodrigo, Chris Donahue +3 · 7 citations
Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Multimedia (cs.MM) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #electronic engineering #information engineering
- International AI Safety Report
2025/01/29 by Yoshua Bengio, Bengio, Yoshua, Sören Mindermann +180 · 18 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
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2016/08/05 by Osbert Bastani, Rahul Sharma, Bastani, Osbert +5 · 4 citations
Computer Science · #Software Testing and Debugging Techniques #Software Engineering Research #Parallel Computing and Optimization Techniques
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2023/10/19 by Rishi Bommasani, Bommasani, Rishi, Kevin Klyman +13 · 1 voice · 9 citations
Computer Science · #Blockchain Technology Applications and Security #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #cs.AI #cs.LG
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2022/12/04 by Chris Donahue, Donahue, Chris, John Thickstun +3 · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multimedia (cs.MM) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
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2023/08/27 by Scott L. Fleming, Alejandro Lozano, Fleming, Scott L. +57 · 7 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
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2024/03/27 by Elliot Bolton, Bolton, Elliot, Abhinav Venigalla +19 · 9 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling
- MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
2025/05/26 by Suhana Bedi, Hejie Cui, Bedi, Suhana +153 · 25 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
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2023/11/15 by Vaishnavi Shrivastava, Percy Liang, Shrivastava, Vaishnavi +3 · 7 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Decoupling Exploration and Exploitation for Meta-Reinforcement Learning\n without Sacrifices
2020/08/06 by Evan Zheran Liu, Aditi Raghunathan, Liu, Evan Zheran +5 · 4 citations
Computer Science · Decision Sciences · Neuroscience · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Reinforcement Learning in Robotics
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2020/10/22 by Sumanth Dathathri, Dathathri, Sumanth, Krishnamurthy Dvijotham +19 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Physical Unclonable Functions (PUFs) and Hardware Security
- Enabling Language Models to Fill in the Blanks
2020/05/11 by Chris Donahue, Mina Lee, Donahue, Chris +3 · 4 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
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2024/10/07 by Kaiyue Wen, Zhiyuan Li, Wen, Kaiyue +9 · 9 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Anomaly Detection Techniques and Applications
- A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
2017/02/18 by Yuchen Zhang, Zhang, Yuchen, Percy Liang +3 · 3 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Robustness to Spurious Correlations via Human Annotations
2020/07/13 by Megha Srivastava, Srivastava, Megha, Tatsunori Hashimoto +3 · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Out-of-Domain Robustness via Targeted Augmentations
2023/02/23 by Irena Gao, Shiori Sagawa, Gao, Irena +7 · 4 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
- Algorithmic Monocultures in Hiring
2026/05/26 by Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel +2 · 11 voices · 1 citation
#cs.CY #cs.AI
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2017/09/26 by Kelvin Guu, Guu, Kelvin, Tatsunori Hashimoto +5 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
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2024/10/14 by Achint Soni, Soni, Achint, Sreyas Venkataraman +11 · 7 citations
Computer Science · #Video Analysis and Summarization
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2016/12/08 by Vatsal Sharan, Sham M. Kakade, Sharan, Vatsal +5 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
2024/10/29 by Josselin Somerville Roberts, Tony Szu‐Hsien Lee, Roberts, Josselin Somerville +9 · 7 citations
Computer Science · #Multimodal Machine Learning Applications #Image Retrieval and Classification Techniques
- Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
2022/04/01 by Kendrick Shen, R. Jones, Shen, Kendrick +11 · 3 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Insights into Pre-training via Simpler Synthetic Tasks
2022/06/21 by Yuhuai Wu, Felix Li, Wu, Yuhuai +3 · 3 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG)
- Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
2017/04/24 by He He, He, He, Anusha Balakrishnan +5 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
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2025/02/19 by Shaona Ghosh, Ghosh, Shaona, Heather Frase +200 · 1 voice · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.AI #cs.CY
- A Retrieve-and-Edit Framework for Predicting Structured Outputs
2018/12/04 by Tatsunori Hashimoto, Kelvin Guu, Hashimoto, Tatsunori B. +5 · 2 citations
Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Software Engineering Research #Web Data Mining and Analysis
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2020/05/04 by Erik Jones, Robin Jia, Jones, Erik +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Topic Modeling
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2025/02/03 by Xiang Lisa Li, Li, Xiang Lisa, Neil Chowdhury +11 · 7 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
- Selective Classification Can Magnify Disparities Across Groups
2020/10/27 by Erik Jones, Shiori Sagawa, Jones, Erik +7 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences
2025/02/03 by Vaishnavi Shrivastava, Ananya Kumar, Shrivastava, Vaishnavi +3 · 7 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
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2021/06/08 by Mina Lee, Lee, Mina, Chris Donahue +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
2020/12/08 by Sang Michael Xie, Xie, Sang Michael, Ananya Kumar +9 · 5 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- Advancing Science- and Evidence-based AI Policy
2025/07/31 by Rishi Bommasani, Bommasani, Rishi, Sanjeev Arora +37 · 1 voice · 6 citations
Medicine · Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences
- The Statistics of Streaming Sparse Regression
2014/12/13 by Jacob Steinhardt, Steinhardt, Jacob, Stefan Wager +3 · 3 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms
- Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
2023/07/12 by Connor Toups, Toups, Connor, Rishi Bommasani +9 · 2 citations
Environmental Science · Mathematics · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 epidemiological studies #Computers and Society (cs.CY) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG)
- Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness
2023/06/16 by Eric Zelikman, Zelikman, Eric, Qian Huang +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Speech Recognition and Synthesis #Topic Modeling #and Cluster Computing (cs.DC)
- Active Learning of Points-To Specifications
2017/11/09 by Osbert Bastani, Bastani, Osbert, Rahul Sharma +5 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
- Defending against Whitebox Adversarial Attacks via Randomized Discretization
2019/03/25 by Yuchen Zhang, Percy Liang, Zhang, Yuchen +1 · 2 citations
Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Bacillus and Francisella bacterial research
- Generalized Binary Search For Split-Neighborly Problems
2018/02/27 by Stephen Mussmann, Percy Liang, Mussmann, Stephen +1 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning and Algorithms #Optimization and Search Problems
- Altitude Training: Strong Bounds for Single-Layer Dropout
2014/07/11 by Stefan Wager, William Fithian, Wager, Stefan +5 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Statistics Theory (math.ST) #Topic Modeling
- Language model developers should report train-test overlap
2024/10/10 by Andy K. Zhang, Zhang, Andy K, Kevin Klyman +11 · 3 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Delphi Technique in Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately
2020/12/07 by Fereshte Khani, Percy Liang, Khani, Fereshte +1 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Independence Tests for Language Models
2025/02/17 by Ahmed Abdelmoamen Ahmed, Zhu, Sally, Rohith Kuditipudi +4 · 4 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
- Reinforcement Learning for Machine Learning Engineering Agents
2025/09/01 by Sherry X. Yang, Joy He-Yueya, Yang, Sherry +3 · 4 citations
Computer Science · #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms
- MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
2025/05/12 by Rushi Qiang, Yuchen Zhuang, Qiang, Rushi +19 · 5 citations
Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Materials Science
- Auditing Prompt Caching in Language Model APIs
2025/02/11 by Chenchen Gu, Gu, Chenchen, Xiang Lisa Li +7 · 3 citations
Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Service-Oriented Architecture and Web Services #Speech and dialogue systems
- How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
2022/11/22 by Charvi Rastogi, Rastogi, Charvi, Ivan Stelmakh +17 · 2 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Databases (cs.DB) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research
- Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
2017/07/25 by Yuchen Zhang, Panupong Pasupat, Zhang, Yuchen +3 · 1 citation
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration
2024/11/04 by Jennifer Grannen, Siddharth Karamcheti, Grannen, Jennifer +7 · 2 citations
Computer Science · Engineering · Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robotics (cs.RO) #Social Robot Interaction and HRI
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2025/10/22 by Rohith Kuditipudi, Kuditipudi, Rohith, Jing Huang +8 · 2 citations
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Scientific Computing and Data Management #Topic Modeling
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2024/04/02 by Joel Niklaus, Niklaus, Joel, Lucia Zheng +17 · 1 citation
Social Sciences · #68T50 #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Comparative and International Law Studies #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2 #Legal Education and Practice Innovations #Machine Learning (cs.LG)
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2025/10/08 by Rushi Qiang, Yuchen Zhuang, Qiang, Rushi +11 · 3 citations
Computer Science · #Natural Language Processing Techniques
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2025/02/26 by Shir Ashury-Tahan, Yifan Mai, Ashury-Tahan, Shir +20 · 1 voice · 2 citations
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning and Data Classification #cs.CL
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2025/12/11 by Alexander Wan, Wan, Alexander, Kevin Klyman +13 · 1 voice · 3 citations
Business, Management and Accounting · Computer Science · Social Sciences · #Big Data and Business Intelligence #Data Analysis with R #Ethics and Social Impacts of AI #cs.AI #cs.CY #cs.LG