Koyejo, Sanmi
- Are Emergent Abilities of Large Language Models a Mirage?
2023/04/28 by Rylan Schaeffer, Brando Miranda, Schaeffer, Rylan +3 · 20 voices · 107 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.LG
- The Leaderboard Illusion
2025/04/29 by Shivalika Singh, Singh, Shivalika, Nan Yu +26 · 32 voices · 27 citations
Medicine · Computer Science · Social Sciences · #Artificial Intelligence in Healthcare and Education #AI in Service Interactions #Ethics and Social Impacts of AI
- Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
2024/04/01 by Matthias Gerstgrasser, Rylan Schaeffer, Gerstgrasser, Matthias +26 · 16 voices · 37 citations
Computer Science · #Semantic Web and Ontologies #cs.AI #cs.CL #cs.ET #cs.LG #stat.ML
- Best-of-N Jailbreaking
2024/12/04 by John D. Hughes, John Hughes, Sara Price +18 · 17 voices · 21 citations
Computer Science · #Digital and Cyber Forensics #cs.AI #cs.CL #cs.LG
- Representation Engineering: A Top-Down Approach to AI Transparency
2023/10/02 by Andy Zou, Long Phan, Zou, Andy +40 · 5 voices · 220 citations
Computer Science · Engineering · #cs.LG #cs.AI #cs.CL #cs.CV #cs.CY
- Advances and Open Problems in Federated Learning
2019/12/10 by Peter Kairouz, Kairouz, Peter, H. Brendan McMahan +115 · 484 citations
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning to (Learn at Test Time): RNNs with Expressive Hidden States
2024/07/05 by Yu Sun, Xinhao Li, Sun, Yu +22 · 1 voice · 72 citations
Computer Science · #Topic Modeling
- KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
2025/02/14 by Baichuan Mo, Belinda Mo, Kyssen Yu +18 · 1 voice · 21 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
- DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
2023/06/20 by Boxin Wang, Wang, Boxin, Weixin Chen +35 · 81 citations
Computer Science · Medicine · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI
- Rethinking Machine Unlearning for Large Language Models
2024/02/13 by Liu, Sijia, Yao, Yuanshun, Jia, Jinghan +11 · 73 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
2024/12/09 by A. Feder Cooper, Christopher A. Choquette-Choo, Cooper, A. Feder +75 · 5 voices · 18 citations
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CY #cs.LG
- Asynchronous Federated Optimization
2019/03/10 by Xie, Cong, Koyejo, Sanmi, Gupta, Indranil · 28 citations
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- SycEval: Evaluating LLM Sycophancy
2025/02/12 by Aaron Fanous, Jacob Goldberg, Fanous, Aaron +11 · 5 voices · 36 citations
Computer Science · #Natural Language Processing Techniques
- Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
2019/03/10 by Cong Xie, Oluwasanmi Koyejo, Xie, Cong +4 · 22 citations
Computer Science · #Adversarial Robustness in Machine Learning #Age of Information Optimization #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- A Field Guide to Federated Optimization
2021/07/14 by Jianyu Wang, Zachary Charles, Wang, Jianyu +103 · 24 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
2023/05/30 by Junzhe Zhu, Zhu, Junzhe, Peiye Zhuang +2 · 21 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Max-Sliced Wasserstein Distance and its use for GANs
2019/04/11 by Deshpande, Ishan, Hu, Yuan-Ting, Sun, Ruoyu +6 · 11 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
2024/10/22 by Joshua Kazdan, Rylan Schaeffer, Kazdan, Joshua +11 · 2 voices · 12 citations
Computer Science · #Semantic Web and Ontologies #cs.AI #cs.LG
- One-Minute Video Generation with Test-Time Training
2025/04/07 by Karan Dalal, Dalal, Karan, Koceja, Daniel +26 · 48 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Human Pose and Action Recognition
- How Do Large Language Monkeys Get Their Power (Laws)?
2025/02/24 by Rylan Schaeffer, Schaeffer, Rylan, Joshua Kazdan +18 · 1 voice · 16 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #cs.AI #cs.LG
- Investigating Data Contamination for Pre-training Language Models
2024/01/11 by Minhao Jiang, Jiang, Minhao, Ken Ziyu Liu +11 · 17 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
- Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
2025/06/24 by Rylan Schaeffer, Schaeffer, Rylan, Joshua Kazdan +25 · 2 voices · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.CY #cs.LG
- Is Pre-training Truly Better Than Meta-Learning?
2023/06/24 by Brando Miranda, Patrick Yu, Miranda, Brando +7 · 1 voice · 4 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 #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare #cs.AI #cs.CL #cs.CV #cs.LG
- Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
2024/06/06 by Rylan Schaeffer, Schaeffer, Rylan, Hailey Schoelkopf +15 · 17 citations
Computer Science · #Explainable Artificial Intelligence (XAI)
- Zeno++: Robust Fully Asynchronous SGD
2019/03/17 by Cong Xie, Sanmi Koyejo, Xie, Cong +3 · 6 citations
Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Wireless Communication Security Techniques #and Cluster Computing (cs.DC)
- Scaling Laws for Downstream Task Performance of Large Language Models
2024/02/06 by Berivan Isik, Natalia Ponomareva, Isik, Berivan +9 · 12 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Quantifying Variance in Evaluation Benchmarks
2024/06/14 by Lovish Madaan, Madaan, Lovish, Aaditya K. Singh +13 · 13 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #Evaluation and Performance Assessment #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
2023/06/24 by Brando Miranda, A. Lee, Miranda, Brando +7 · 8 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
2024/07/21 by Rylan Schaeffer, Dan Valentine, Schaeffer, Rylan +27 · 12 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Toward an Evaluation Science for Generative AI Systems
2025/03/07 by Laura Weidinger, Inioluwa Deborah Raji, Weidinger, Laura +17 · 21 citations
Computer Science · Psychology · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Human-Automation Interaction and Safety #Machine Learning (cs.LG)
- Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
2024/06/24 by Ashwinee Panda, Berivan Isik, Panda, Ashwinee +9 · 10 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences
- MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
2025/05/26 by Suhana Bedi, Hejie Cui, Bedi, Suhana +153 · 27 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
- What Causes Polysemanticity? An Alternative Origin Story of Mixed Selectivity from Incidental Causes
2023/12/05 by Lecomte, Victor, Thaman, Kushal, Schaeffer, Rylan +3 · 7 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials
2018/09/01 by Yogatheesan Varatharajah, Brent Berry, Varatharajah, Yogatheesan +5 · 3 citations
Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life
- Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
2023/11/04 by Rylan Schaeffer, Mikail Khona, Schaeffer, Rylan +9 · 7 citations
Biochemistry, Genetics and Molecular Biology · Neuroscience · #Single-cell and spatial transcriptomics #Cell Image Analysis Techniques #Neural dynamics and brain function
- Deceptive Alignment Monitoring
2023/07/20 by Andrés Carranza Carranza, Carranza, Andres, Dhruv Pai +7 · 5 citations
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
- Transforming and Combining Rewards for Aligning Large Language Models
2024/02/01 by Zihao Wang, Wang, Zihao, Chirag Nagpal +11 · 6 citations
Computer Science · #68T50 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2 #Natural Language Processing Techniques #Topic Modeling
- Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
2025/05/13 by Olawale Salaudeen, Anka Reuel, Salaudeen, Olawale +14 · 14 citations
Computer Science · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
2024/12/09 by Michael Wornow, Wornow, Michael, Suhana Bedi +13 · 9 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging #and Science (cs.CE)
- AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
2025/03/20 by Andy Zhou, Zhou, Andy, Kevin Wu +17 · 11 citations
Computer Science · #Advanced Malware Detection Techniques #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Network Security and Intrusion Detection #Security and Verification in Computing
- Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
2025/02/04 by Anni Wang, Wang, Angelina, Michelle Phan +5 · 9 citations
Business, Management and Accounting · Computer Science · #Business Law and Ethics #Computation and Language (cs.CL) #Computers and Society (cs.CY) #Dispute Resolution and Class Actions #FOS: Computer and information sciences #Law, AI, and Intellectual Property
- Shaping AI's Impact on Billions of Lives
2024/12/03 by Mariano-Florentino Cuéllar, Cuéllar, Mariano-Florentino, Jeff Dean +16 · 6 voices · 1 citation
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #cs.AI #cs.CY #cs.ET #cs.LG
- On the Consistency of Top-k Surrogate Losses
2019/01/30 by Yang, Forest, Koyejo, Sanmi · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- More than Marketing? On the Information Value of AI Benchmarks for Practitioners
2024/12/07 by Amelia Hardy, Hardy, Amelia, Anka Reuel +15 · 7 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
- FMRI data augmentation via synthesis
2019/07/13 by Peiye Zhuang, Alexander G. Schwing, Zhuang, Peiye +3 · 2 citations
Computer Science · Neuroscience · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Functional Brain Connectivity Studies #Fractal and DNA sequence analysis
- Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
2024/03/05 by Sang Truong, Quang Duc Nguyen, Truong, Sang T. +11 · 4 citations
Computer Science · #68T50 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
- Scalable Ensembling For Mitigating Reward Overoptimisation
2024/06/03 by Ahmed M. Ahmed, Rafael Rafailov, Ahmed, Ahmed M. +7 · 5 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Speech and dialogue systems #Topic Modeling
- Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4
2024/10/21 by Aniva, Leni, Sun, Chuyue, Miranda, Brando +2 · 6 citations
#Artificial Intelligence (cs.AI) #F.4.1 #FOS: Computer and information sciences #FOS: Mathematics #I.2.3 #I.2.7 #Logic (math.LO) #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG)
- Position: Model Collapse Does Not Mean What You Think
2025/03/05 by Rylan Schaeffer, Joshua Kazdan, Schaeffer, Rylan +5 · 9 citations
Computer Science · Social Sciences · #Generative Adversarial Networks and Image Synthesis #Computational and Text Analysis Methods #Explainable Artificial Intelligence (XAI)
- Reliable and Efficient Amortized Model-based Evaluation
2025/03/17 by Truong, Sang, Tu, Yuheng, Liang, Percy +2 · 7 citations
#Applications (stat.AP) #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- The Utility and Complexity of in- and out-of-Distribution Machine Unlearning
2024/12/12 by Youssef Allouah, Joshua Kazdan, Allouah, Youssef +5 · 7 citations
Engineering · #Belt Conveyor Systems Engineering #Industrial Automation and Control Systems #Smart Grid Energy Management
- Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
2025/03/28 by Zhanke Zhou, Zhou, Zhanke, Zhaocheng Zhu +12 · 11 citations
Computer Science · Social Sciences · #Topic Modeling #Computational and Text Analysis Methods #Multimodal Machine Learning Applications
- TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records
2025/03/06 by Cui, Hejie, Unell, Alyssa, Chen, Bowen +4 · 7 citations
#68T37 #68T50 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Engineering #FOS: Computer and information sciences #Finance #I.2.7 #J.3 #Machine Learning (cs.LG) #and Science (cs.CE)
- 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
- SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
2025/05/20 by Anjiang Wei, Wei, Anjiang, Y. Wu +13 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Natural Language Processing Techniques
- Adapting to Latent Subgroup Shifts via Concepts and Proxies
2022/12/21 by Ibrahim Alabdulmohsin, Alabdulmohsin, Ibrahim, Nicole Chiou +17 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Text and Document Classification Technologies
- Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
2023/02/10 by Jiang, Enyi, Zhang, Yibo Jacky, Koyejo, Sanmi · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning to (Learn at Test Time)
2023/10/20 by Sun, Yu, Li, Xinhao, Dalal, Karan +6 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
2023/07/20 by Schaeffer, Rylan, Pistunova, Kateryna, Khanna, Samar +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Certified Unlearning for Neural Networks
2025/06/08 by Anastasia Koloskova, Youssef Allouah, Koloskova, Anastasia +7 · 9 citations
Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Machine Learning and Data Classification
- Language Models May Verbatim Complete Text They Were Not Explicitly Trained On
2025/03/21 by Liu, Ken Ziyu, Choquette-Choo, Christopher A., Jagielski, Matthew +4 · 8 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
2025/06/09 by Zhanke Zhou, Zhou, Zhanke, Feng Xiao +9 · 8 citations
Computer Science · Medicine · #Topic Modeling #Multimodal Machine Learning Applications #Artificial Intelligence in Healthcare and Education
- A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions
2022/05/01 by Xie, Yong, Wang, Dakuo, Chen, Pin-Yu +3 · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Statistical Finance (q-fin.ST)
- Optimization and Generalization Guarantees for Weight Normalization
2024/09/13 by Pedro Cisneros‐Velarde, Zhijie Chen, Cisneros-Velarde, Pedro +5 · 2 citations
Engineering · Computer Science · #Advanced Numerical Analysis Techniques #Advanced Data Compression Techniques #Transport Systems and Technology
- The Inadequacy of Offline LLM Evaluations: A Need to Account for Personalization in Model Behavior
2025/09/18 by Angelina Wang, Daniel E. Ho, Wang, Angelina +3 · 1 voice · 2 citations
#cs.CL #cs.AI
- Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
2022/09/08 by Chulin Xie, Xie, Chulin, Yunhui Long +8 · 1 citation
Computer Science · #Privacy-Preserving Technologies in Data
- Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
2025/06/04 by Stephen R. Pfohl, Pfohl, Stephen R., Natalie Harris +27 · 1 voice · 3 citations
#stat.ML #cs.CY #cs.LG
- The Reality of AI and Biorisk
2024/12/02 by Aidan Peppin, Peppin, Aidan, Anka Reuel +23 · 1 voice · 2 citations
Computer Science · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Digital Transformation in Industry #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Physical Unclonable Functions (PUFs) and Hardware Security #cs.AI
- Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center Open Data Commons
2023/03/18 by Whitney, Heather M., Baughan, Natalie, Myers, Kyle J. +11 · 1 citation
#FOS: Physical sciences #Medical Physics (physics.med-ph)
- Adaptive Compression in Federated Learning via Side Information
2023/06/22 by Berivan Isik, Isik, Berivan, Francesco Pase +9 · 1 citation
Computer Science · #Distributed #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains
2024/02/16 by Stromberg, Nathan, Ayyagari, Rohan, Welfert, Monica +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Proxy Methods for Domain Adaptation
2024/03/12 by Katherine Tsai, Stephen Pfohl, Tsai, Katherine +13 · 1 citation
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
- UQ: Assessing Language Models on Unsolved Questions
2025/08/25 by Nie, Fan, Liu, Ken Ziyu, Wang, Zihao +11 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Logits are All We Need to Adapt Closed Models
2025/02/03 by Gaurush Hiranandani, Hiranandani, Gaurush, H. Z. Wu +4 · 1 citation
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Software Engineering Research #Topic Modeling
- Bridging Associative Memory and Probabilistic Modeling
2024/02/15 by Rylan Schaeffer, Schaeffer, Rylan, Nika Zahedi +21 · 1 citation
Computer Science · #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG)
- Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
2025/03/28 by Syrine Belakaria, Belakaria, Syrine, Joshua Kazdan +13 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
- No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms
2025/02/26 by Kazdan, Joshua, Puri, Abhay, Schaeffer, Rylan +5 · 2 citations
#Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Aligning Compound AI Systems via System-level DPO
2025/02/24 by Xiangwen Wang, Yibo Jacky Zhang, Wang, Xiangwen +9 · 2 citations
Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Neural Networks and Applications
- Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
2024/06/13 by Rylan Schaeffer, Schaeffer, Rylan, Victor Lecomte +23 · 1 citation
Computer Science · Medicine · #Topological and Geometric Data Analysis #Medical Imaging Techniques and Applications
- On Fairness of Low-Rank Adaptation of Large Models
2024/05/27 by Ding, Zhoujie, Liu, Ken Ziyu, Peetathawatchai, Pura +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Causally Inspired Regularization Enables Domain General Representations
2024/04/25 by Olawale Salaudeen, Salaudeen, Olawale, Oluwasanmi Koyejo +1 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods
- The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
2022/08/02 by Brando Miranda, Patrick Yu, Miranda, Brando +5 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- The Optimization Paradox in Clinical AI Multi-Agent Systems
2025/06/06 by Bedi, Suhana, Mlauzi, Iddah, Shin, Daniel +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
- Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
2025/03/31 by Olawale Salaudeen, Nicole Chiou, Salaudeen, Olawale +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells
2023/11/27 by Rylan Schaeffer, Schaeffer, Rylan, Mikail Khona +7 · 1 citation
Mathematics · Neuroscience · Psychology · #FOS: Biological sciences #Morphological variations and asymmetry #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Primate Behavior and Ecology
- Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
2025/08/05 by Gulati, Aryan, Miranda, Brando, Chen, Eric +5 · 5 citations
#68Q32 #68T05 #68T20 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #F.2.2 #FOS: Computer and information sciences #I.2.3 #I.2.6 #I.2.8 #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Quantifying the Importance of Data Alignment in Downstream Model Performance
2025/01/14 by Chawla, Krrish, Sahai, Aryan, DePavia, Mario +4 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL)
- Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators
2023/12/06 by Rylan Schaeffer, Mikail Khona, Schaeffer, Rylan +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Neuroscience · #FOS: Biological sciences #Functional Brain Connectivity Studies #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Receptor Mechanisms and Signaling