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Zou, James

  1. Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models
    2025/03/03 by Meghana Arakkal Rajeev, Meghana Rajeev, Rajeev, Meghana +15 · 44 voices · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
  2. Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
    2025/10/06 by Qizheng Zhang, Changran Hu, Zhang, Qizheng +24 · 15 voices · 26 citations
    Computer Science · #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #cs.AI #cs.CL #cs.LG
  3. GPT detectors are biased against non-native English writers
    2023/04/06 by Weixin Liang, Liang, Weixin, Mert Yüksekgönül +9 · 13 voices · 26 citations
    Medicine · Computer Science · Social Sciences · #Artificial Intelligence in Healthcare and Education #Topic Modeling #Ethics and Social Impacts of AI
  4. How is ChatGPT's behavior changing over time?
    2023/07/18 by Lingjiao Chen, Matei Zaharia, Chen, Lingjiao +3 · 8 voices · 34 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Topic Modeling #cs.AI #cs.CL #cs.LG
  5. The Widespread Adoption of Large Language Model-Assisted Writing Across Society
    2025/02/13 by Weixin Liang, Yaohui Zhang, Liang, Weixin +9 · 17 voices · 24 citations
    Computer Science · #Topic Modeling #cs.CL
  6. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
    2023/05/09 by Lingjiao Chen, Matei Zaharia, Chen, Lingjiao +3 · 4 voices · 94 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG #cs.SE
  7. TextGrad: Automatic "Differentiation" via Text
    2024/06/11 by Mert Yuksekgonul, Mert Yüksekgönül, Federico Bianchi +12 · 3 voices · 38 citations
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #cs.AI #cs.CL #cs.LG
  8. Can large language models provide useful feedback on research papers? A large-scale empirical analysis
    2023/10/03 by Weixin Liang, Yuhui Zhang, Liang, Weixin +24 · 15 voices · 45 citations
    Computer Science · Decision Sciences · Medicine · #Artificial Intelligence in Healthcare and Education #Scientific Computing and Data Management #Topic Modeling #cs.AI #cs.CL #cs.HC #cs.LG
  9. Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
    2025/10/07 by Batu El, James Zou, El, Batu +1 · 23 voices · 2 citations
    Computer Science · #Library Science and Information Systems
  10. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word\n Embeddings
    2016/07/21 by Tolga Bolukbasi, Bolukbasi, Tolga, Kai-Wei Chang +7 · 165 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text Readability and Simplification #Topic Modeling
  11. Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
    2025/09/08 by Jiacheng Miao, Miao, Jiacheng, Joe R. Davis +7 · 14 voices · 11 citations
    Computer Science · Decision Sciences · #Scientific Computing and Data Management #Semantic Web and Ontologies #cs.AI #cs.CL #cs.LG
  12. Data Shapley: Equitable Valuation of Data for Machine Learning
    2019/04/05 by Amirata Ghorbani, James Zou, Ghorbani, Amirata +1 · 87 citations
    Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #Forecasting Techniques and Applications #Machine Learning in Healthcare
  13. Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
    2022/03/03 by Weixin Liang, Yuhui Zhang, Liang, Weixin +7 · 86 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  14. Making AI Forget You: Data Deletion in Machine Learning
    2019/07/11 by Antonio Ginart, Ginart, Antonio, Melody Y. Guan +5 · 62 citations
    Computer Science · Decision Sciences · #Data Quality and Management #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  15. When and why vision-language models behave like bags-of-words, and what to do about it?
    2022/10/04 by Mert Yüksekgönül, Yuksekgonul, Mert, Federico Bianchi +7 · 76 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #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) #Multimodal Machine Learning Applications
  16. Mixture-of-Agents Enhances Large Language Model Capabilities
    2024/06/07 by Junlin Wang, Wang, Junlin, Jue Wang +7 · 93 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  17. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
    2023/09/14 by Federico Bianchi, Mirac Süzgün, Bianchi, Federico +12 · 2 voices · 50 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL
  18. What Should Data Science Education Do with Large Language Models?
    2023/07/06 by Xinming Tu, James Zou, Tu, Xinming +5 · 6 voices · 2 citations
    #cs.CY #cs.AI #cs.CL
  19. Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
    2019/06/06 by Abubakar Abid, Ali Abdalla, Abid, Abubakar +9 · 35 citations
    Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management #Topic Modeling
  20. Interpretation of Neural Networks is Fragile
    2017/10/29 by Amirata Ghorbani, Abubakar Abid, Ghorbani, Amirata +3 · 33 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. MOPO: Model-based Offline Policy Optimization
    2020/05/27 by Tianhe Yu, Yu, Tianhe, Garrett Thomas +13 · 33 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Simulation Techniques and Applications
  22. Approximate Data Deletion from Machine Learning Models
    2020/02/24 by Zachary Izzo, Mary Anne Smart, Izzo, Zachary +5 · 29 citations
    Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  23. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
    2023/11/11 by Sheng Liu, Liu, Sheng, Lei Xing +4 · 49 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  24. Post-hoc Concept Bottleneck Models
    2022/05/31 by Mert Yüksekgönül, Maggie Haitian Wang, Yuksekgonul, Mert +3 · 34 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  25. Persistent Anti-Muslim Bias in Large Language Models
    2021/01/14 by Abubakar Abid, Abid, Abubakar, Maheen Farooqi +3 · 26 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  26. Simple linear attention language models balance the recall-throughput tradeoff
    2024/02/28 by Simran Arora, Sabri Eyuboglu, Arora, Simran +15 · 31 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Advanced Graph Neural Networks
  27. TrustLLM: Trustworthiness in Large Language Models
    2024/01/01 by Yue Huang, Lichao Sun, Huang, Yue +136 · 30 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Privacy-Preserving Technologies in Data #Explainable Artificial Intelligence (XAI)
  28. Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
    2021/10/26 by Yongchan Kwon, Kwon, Yongchan, James Zou +1 · 18 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  29. Zoology: Measuring and Improving Recall in Efficient Language Models
    2023/12/08 by Simran Arora, Arora, Simran, Sabri Eyuboglu +13 · 24 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Topic Modeling
  30. Improving Out-of-Distribution Robustness via Selective Augmentation
    2022/01/02 by Huaxiu Yao, Yu Wang, Yao, Huaxiu +11 · 16 citations
    Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  31. Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
    2023/06/08 by Liang, Paul Pu, Deng, Zihao, Ma, Martin +3 · 20 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
  32. Domino: Discovering Systematic Errors with Cross-Modal Embeddings
    2022/03/24 by Eyuboglu, Sabri, Varma, Maya, Saab, Khaled +5 · 14 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence
    2024/04/16 by Kevin Wu, Eric Wu, Wu, Kevin +3 · 21 citations
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Corporate Finance and Governance #FOS: Computer and information sciences
  34. DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
    2023/10/02 by Kwon, Yongchan, Wu, Eric, Wu, Kevin +1 · 18 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
    2018/05/31 by Kim, Michael P., Ghorbani, Amirata, Zou, James · 9 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
    2024/08/06 by Yunfei Xie, Ce Zhou, Xie, Yunfei +19 · 24 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Topic Modeling
  37. How to Learn when Data Reacts to Your Model: Performative Gradient Descent
    2021/02/15 by Izzo, Zachary, Ying, Lexing, Zou, James · 10 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  38. How Does Mixup Help With Robustness and Generalization?
    2020/10/09 by Zhang, Linjun, Deng, Zhun, Kawaguchi, Kenji +2 · 10 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  39. Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
    2024/03/04 by Lingjiao Chen, Chen, Lingjiao, Jared Quincy Davis +11 · 17 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Law, AI, and Intellectual Property #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
  40. AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
    2024/06/17 by Shirley Wu, Shiyu Zhao, Wu, Shirley +17 · 19 citations
    Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications
  41. MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
    2024/10/16 by Xia, Peng, Zhu, Kangyu, Li, Haoran +6 · 22 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  42. InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
    2024/11/13 by Elana P. Simon, James Zou, Simon, Elana +1 · 21 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
  43. Diagnosing and Rectifying Vision Models using Language
    2023/02/08 by Yuhui Zhang, Zhang, Yuhui, Jeff Z. HaoChen +9 · 11 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Digital Imaging for Blood Diseases
  44. Neuron Shapley: Discovering the Responsible Neurons
    2020/02/23 by Ghorbani, Amirata, Zou, James · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  45. STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
    2024/04/19 by Shirley Wu, Wu, Shirley, Shiyu Zhao +17 · 14 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Library Science and Information Systems #Machine Learning (cs.LG) #Natural Language Processing Techniques
  46. TFG: Unified Training-Free Guidance for Diffusion Models
    2024/09/24 by Haotian Ye, Haowei Lin, Ye, Haotian +15 · 19 citations
    Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Nuclear reactor physics and engineering
  47. How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
    2024/02/08 by Federico Bianchi, Bianchi, Federico, Patrick John Chia +9 · 13 citations
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Science and Game Theory (cs.GT) #Corporate Governance and Law #Digital Platforms and Economics #FOS: Computer and information sciences
  48. Reducing Hallucinations in Vision-Language Models via Latent Space Steering
    2024/10/21 by Sheng Liu, Liu, Sheng, Haotian Ye +5 · 19 citations
    Medicine · #Epilepsy research and treatment
  49. Enhancing Large Vision Language Models with Self-Training on Image Comprehension
    2024/05/30 by Deng, Yihe, Lu, Pan, Yin, Fan +6 · 14 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  50. CollabLLM: From Passive Responders to Active Collaborators
    2025/02/02 by Shirley Wu, Wu, Shirley, Michel Galley +17 · 23 citations
    Computer Science · #Semantic Web and Ontologies
  51. How much does your data exploration overfit? Controlling bias via information usage
    2015/11/16 by Russo, Daniel, Zou, James · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  52. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025
    2025/04/13 by Nitya Thakkar, Mert Yuksekgonul, Thakkar, Nitya +16 · 3 voices · 15 citations
    Social Sciences · #Delphi Technique in Research
  53. Concrete Autoencoders for Differentiable Feature Selection and Reconstruction
    2019/01/27 by Abubakar Abid, Muhammad Fatih Balin, Abid, Abubakar +3 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Gene expression and cancer classification #Neural Networks and Applications #Machine Learning and Data Classification
  54. How to Learn when Data Gradually Reacts to Your Model
    2021/12/13 by Zachary Izzo, James Zou, Izzo, Zachary +3 · 7 citations
    Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  55. Discover and Cure: Concept-aware Mitigation of Spurious Correlation
    2023/05/01 by Wu, Shirley, Yuksekgonul, Mert, Zhang, Linjun +1 · 9 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  56. MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
    2022/02/14 by Weixin Liang, Liang, Weixin, James Zou +1 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Single-cell and spatial transcriptomics
  57. Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges
    2023/11/06 by Chenhang Cui, Cui, Chenhang, Yiyang Zhou +11 · 10 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Cell Image Analysis Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  58. OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
    2025/02/16 by Lü Pan, Lu, Pan, Bowen Chen +9 · 20 citations
    Computer Science · #Multi-Agent Systems and Negotiation
  59. CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
    2024/06/10 by Xia, Peng, Chen, Ze, Tian, Juanxi +21 · 12 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  60. Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
    2019/04/02 by Dorottya Demszky, Demszky, Dorottya, Nikhil Garg +11 · 6 citations
    Social Sciences · #Social Media and Politics #Terrorism, Counterterrorism, and Political Violence #Misinformation and Its Impacts
  61. Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
    2025/04/10 by Suzgun, Mirac, Yuksekgonul, Mert, Bianchi, Federico +2 · 17 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  62. Why Adaptively Collected Data Have Negative Bias and How to Correct for It
    2017/08/07 by Xinkun Nie, Nie, Xinkun, Xiaoying Tian +5 · 1 voice · 3 citations
    Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #cs.LG #stat.ML
  63. DataPerf: Benchmarks for Data-Centric AI Development
    2022/07/20 by Mark Mazumder, Mazumder, Mark, Colby Banbury +78 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  64. Contrastive Variational Autoencoder Enhances Salient Features
    2019/02/12 by Abubakar Abid, Abid, Abubakar, James Zou +1 · 4 citations
    Computer Science · Neuroscience · #Aesthetic Perception and Analysis #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  65. The Power of Contrast for Feature Learning: A Theoretical Analysis
    2021/10/06 by Ji, Wenlong, Deng, Zhun, Nakada, Ryumei +2 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  66. Latent Collaboration in Multi-Agent Systems
    2025/11/25 by Jiaru Zou, Ruizhong Qiu, Zou, Jiaru +23 · 4 voices · 3 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CL #cs.LG
  67. Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems
    2019/09/25 by Antonio Ginart, Maxim Naumov, Ginart, Antonio +7 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Caching and Content Delivery #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques
  68. SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis
    2023/02/01 by Daneshjou, Roxana, Yuksekgonul, Mert, Cai, Zhuo Ran +2 · 6 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  69. More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
    2025/05/23 by Chengzhi Liu, Liu, Chengzhi, Zhongxing Xu +13 · 23 citations
    Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition
  70. Uncalibrated Models Can Improve Human-AI Collaboration
    2022/02/12 by Vodrahalli, Kailas, Gerstenberg, Tobias, Zou, James · 5 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
  71. A Distributional Framework for Data Valuation
    2020/02/27 by Amirata Ghorbani, Ghorbani, Amirata, Michael P. Kim +3 · 4 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sports Analytics and Performance
  72. Cartridges: Lightweight and general-purpose long context representations via self-study
    2025/06/06 by Sabri Eyuboglu, Ryan Ehrlich, Eyuboglu, Sabri +18 · 18 citations
    Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Computational and Text Analysis Methods
  73. GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
    2023/12/07 by Shirley Wu, Kaidi Cao, Wu, Shirley +7 · 7 citations
    Computer Science · Environmental Science · #Advanced Graph Neural Networks #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG)
  74. Efficient computation and analysis of distributional Shapley values
    2020/07/02 by Yongchan Kwon, Manuel A. Rivas, Kwon, Yongchan +3 · 4 citations
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  75. Protein Large Language Models: A Comprehensive Survey
    2025/02/21 by Yijia Xiao, Wanjia Zhao, Xiao, Yijia +30 · 6 voices · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #Machine Learning in Bioinformatics #cs.AI #cs.CE #cs.CL #cs.LG #q-bio.BM
  76. SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
    2024/05/28 by Rahul Thapa, Bryan He, Thapa, Rahul +11 · 8 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Sleep and Wakefulness Research #electronic engineering #information engineering
  77. OpenDataVal: a Unified Benchmark for Data Valuation
    2023/06/18 by Jiang, Kevin Fu, Liang, Weixin, Zou, James +1 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  78. Inference-time Scaling of Diffusion Models through Classical Search
    2025/05/29 by Zhang, Xiangcheng, Lin, Haowei, Ye, Haotian +4 · 18 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  79. SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
    2025/02/07 by Wanjia Zhao, Mert Yüksekgönül, Zhao, Wanjia +5 · 12 citations
    Computer Science · #Semantic Web and Ontologies #Multi-Agent Systems and Negotiation #Service-Oriented Architecture and Web Services
  80. Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
    2023/04/16 by Yongchan Kwon, James Zou, Kwon, Yongchan +1 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  81. Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
    2024/01/29 by Ian Covert, Covert, Ian, Chanwoo Kim +8 · 2 voices · 3 citations
    Computer Science · #Machine Learning and Data Classification
  82. 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
  83. When and How Mixup Improves Calibration
    2021/02/11 by Linjun Zhang, Zhang, Linjun, Zhun Deng +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  84. FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply
    2020/06/12 by Lingjiao Chen, Matei Zaharia, Chen, Lingjiao +3 · 3 citations
    Computer Science · #Computer Science and Game Theory (cs.GT) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sentiment Analysis and Opinion Mining #Topic Modeling
  85. Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful Content
    2024/02/21 by Bianchi, Federico, Zou, James · 5 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  86. Self-rationalization improves LLM as a fine-grained judge
    2024/10/07 by Prapti Trivedi, Aditya Gulati, Trivedi, Prapti +17 · 6 citations
    Computer Science · #Natural Language Processing Techniques
  87. Contrastive Principal Component Analysis
    2017/09/20 by Abubakar Abid, Martin Jinye Zhang, Abid, Abubakar +5 · 2 citations
    Chemistry · Biochemistry, Genetics and Molecular Biology · Engineering · #Spectroscopy and Chemometric Analyses #Spectroscopy Techniques in Biomedical and Chemical Research #Remote-Sensing Image Classification
  88. MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
    2025/01/24 by Yixing Jiang, Kameron Collin Black, Jiang, Yixing +9 · 8 citations
    Immunology and Microbiology · Medicine · #Artificial Intelligence (cs.AI) #Biosimilars and Bioanalytical Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Radiomics and Machine Learning in Medical Imaging
  89. Capturing the Temporal Dependence of Training Data Influence
    2024/12/12 by Wang, Jiachen T., Song, Dawn, Zou, James +2 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  90. Automated radiotherapy treatment planning guided by GPT-4Vision
    2024/06/21 by Liu, Sheng, Pastor-Serrano, Oscar, Chen, Yizheng +10 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Medical Physics (physics.med-ph)
  91. Optimizing Model Selection for Compound AI Systems
    2025/02/20 by Chen, Lingjiao, Davis, Jared Quincy, Hanin, Boris +4 · 8 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  92. What's documented in AI? Systematic Analysis of 32K AI Model Cards
    2024/02/07 by Weixin Liang, Liang, Weixin, Nazneen Fatema Rajani +13 · 4 citations
    Engineering · Health Professions · #Advanced Data Processing Techniques #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  93. Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
    2023/02/13 by Nakada, Ryumei, Gulluk, Halil Ibrahim, Deng, Zhun +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  94. Cost-of-Pass: An Economic Framework for Evaluating Language Models
    2025/04/17 by Erol, Mehmet Hamza, El, Batu, Suzgun, Mirac +2 · 10 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  95. TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter
    2023/06/14 by Yiqun Chen, Chen, Yiqun, James Zou +1 · 3 citations
    Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Applications (stat.AP) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  96. Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
    2024/05/06 by Jiachen T. Wang, T.S. Yang, Wang, Jiachen T. +7 · 4 citations
    Computer Science · #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  97. Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations
    2021/06/24 by Abubakar Abid, Abid, Abubakar, Mert Yüksekgönül +3 · 2 citations
    Computer Science · #Data Stream Mining Techniques #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI)
  98. FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?
    2024/11/07 by Eric Wu, Kevin Wu, Wu, Eric +3 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Semantic Web and Ontologies
  99. Submix: Practical Private Prediction for Large-Scale Language Models
    2022/01/04 by Antonio Ginart, Laurens van der Maaten, Ginart, Antonio +5 · 2 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) #Privacy-Preserving Technologies in Data
  100. Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face
    2024/01/24 by Xinyu Yang, Weixin Liang, Yang, Xinyu +3 · 3 citations
    Computer Science · Decision Sciences · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management
  101. Evaluating Large Language Models with Psychometrics
    2024/06/25 by Li, Yuan, Huang, Yue, Wang, Hongyi +4 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  102. SEAL : Interactive Tool for Systematic Error Analysis and Labeling
    2022/10/11 by Nazneen Fatema Rajani, Weixin Liang, Rajani, Nazneen +7 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  103. Learning and Forgetting Unsafe Examples in Large Language Models
    2023/12/20 by Zhao, Jiachen, Deng, Zhun, Madras, David +2 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  104. GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
    2022/06/30 by Zhu, Zhiying, Liang, Weixin, Zou, James · 2 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  105. Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models
    2025/02/21 by Avanika Narayan, Narayan, Avanika, Dan Biderman +11 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Big Data and Digital Economy #Cloud Computing and Resource Management #Computation and Language (cs.CL) #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  106. Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
    2022/10/20 by Ye, Haotian, Zou, James, Zhang, Linjun · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  107. C-Mixup: Improving Generalization in Regression
    2022/10/11 by Yao, Huaxiu, Wang, Yiping, Zhang, Linjun +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  108. Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
    2024/10/28 by Mirac Suzgun, Tayfun Gur, Suzgun, Mirac +11 · 3 voices · 2 citations
    #cs.CL #cs.AI #cs.CY
  109. Solving Inequality Proofs with Large Language Models
    2025/06/09 by Pan Lu, Lu, Pan, Jiayi Sheng +10 · 8 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Mathematics, Computing, and Information Processing #Topic Modeling
  110. Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
    2023/04/08 by Mao, Yuzhen, Deng, Zhun, Yao, Huaxiu +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  111. ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models
    2024/10/03 by Duy M. H. Nguyen, Nguyen, Duy M. H., Nghiem T. Diep +22 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  112. Beyond Confidence: Reliable Models Should Also Consider Atypicality
    2023/05/29 by Mert Yüksekgönül, Linjun Zhang, Yuksekgonul, Mert +5 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  113. Intersecting Faces: Non-negative Matrix Factorization With New Guarantees
    2015/07/08 by Ge, Rong, Zou, James · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  114. Rich Component Analysis
    2015/07/14 by Ge, Rong, Zou, James · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  115. Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
    2023/05/04 by Liang, Weixin, Mao, Yining, Kwon, Yongchan +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  116. Quantifying the accuracy of approximate diffusions and Markov chains
    2016/05/20 by Jonathan H. Huggins, Huggins, Jonathan H., James Zou +1 · 1 citation
    Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Statistical Methods and Inference #Statistics Theory (math.ST)
  117. Quantifying and Reducing Stereotypes in Word Embeddings
    2016/06/20 by Bolukbasi, Tolga, Chang, Kai-Wei, Zou, James +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  118. A Spectral Method for Assessing and Combining Multiple Data Visualizations
    2022/10/25 by Ma, Rong, Sun, Eric D., Zou, James · 2 citations
    #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Quantitative Methods (q-bio.QM)
  119. NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
    2017/11/03 by Fei Xia, Martin Jinye Zhang, Xia, Fei +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Applications (stat.AP) #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME)
  120. The Effects of Memory Replay in Reinforcement Learning
    2017/10/18 by Liu, Ruishan, Zou, James · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  121. Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions
    2018/04/05 by Gupta, Anvita, Zou, James · 1 citation
    #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  122. Can AI Be as Creative as Humans?
    2024/01/03 by Haonan Wang, Wang, Haonan, James Zou +18 · 2 citations
    Materials Science · Computer Science · Social Sciences · #Machine Learning in Materials Science #Topic Modeling #Language and cultural evolution
  123. MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports
    2025/05/16 by Wu, Kevin, Wu, Eric, Thapa, Rahul +7 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  124. Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization
    2018/10/26 by Jaime Roquero Gimenez, James Zou, Gimenez, Jaime Roquero +1 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Gene expression and cancer classification #Molecular Biology Techniques and Applications #Genetic and phenotypic traits in livestock
  125. Autowarp: Learning a Warping Distance from Unlabeled Time Series Using\n Sequence Autoencoders
    2018/10/23 by Abubakar Abid, James Zou, Abid, Abubakar +1 · 1 citation
    Computer Science · #Advanced Text Analysis Techniques #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Time Series Analysis and Forecasting
  126. New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking
    2023/12/04 by Karanpartap Singh, Singh, Karanpartap, James Zou +1 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Topic Modeling
  127. Learning transport cost from subset correspondence
    2019/09/29 by Ruishan Liu, Liu, Ruishan, Akshay Balsubramani +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Single-cell and spatial transcriptomics
  128. Where LLM Agents Fail and How They can Learn From Failures
    2025/09/29 by Zhu, Kunlun, Liu, Zijia, Li, Bingxuan +15 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  129. A Survey on Data Markets
    2024/11/09 by Zhang, Jiayao, Bi, Yuran, Cheng, Mengye +15 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Databases (cs.DB) #FOS: Computer and information sciences
  130. Locality Alignment Improves Vision-Language Models
    2024/10/14 by Covert, Ian, Sun, Tony, Zou, James +1 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  131. Data-Driven Subgroup Identification for Linear Regression
    2023/04/29 by Zachary Izzo, Izzo, Zachary, Ruishan Liu +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Clustering Algorithms Research #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  132. DMLR: Data-centric Machine Learning Research -- Past, Present and Future
    2023/11/21 by Oala, Luis, Maskey, Manil, Bat-Leah, Lilith +35 · 2 citations
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Parallel #Signal Processing (eess.SP) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
  133. Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models
    2024/06/03 by Rahul Thapa, Thapa, Rahul, Kezhen Chen +10 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
  134. Data Shapley Valuation for Efficient Batch Active Learning
    2021/04/16 by Ghorbani, Amirata, Zou, James, Esteva, Andre · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  135. Did the Model Change? Efficiently Assessing Machine Learning API Shifts
    2021/07/29 by Chen, Lingjiao, Cai, Tracy, Zaharia, Matei +1 · 1 citation
    #Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  136. Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
    2021/07/14 by Vodrahalli, Kailas, Daneshjou, Roxana, Gerstenberg, Tobias +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  137. Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors
    2025/04/07 by Nie, Fan, Feng, Lan, Ye, Haotian +5 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  138. Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains
    2025/06/02 by Jianzhen Wu, Sheng Liu, Wu, Juncheng +12 · 6 citations
    Business, Management and Accounting · #Big Data and Business Intelligence #Computation and Language (cs.CL) #ERP Systems Implementation and Impact #FOS: Computer and information sciences #Private Equity and Venture Capital
  139. Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute
    2025/06/18 by Liu, Sheng, Chen, Tianlang, Lu, Pan +4 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
  140. Disentangling Reasoning and Knowledge in Medical Large Language Models
    2025/05/16 by Rahul Thapa, Qingyang Wu, Thapa, Rahul +25 · 4 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Topic Modeling
  141. FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee
    2022/11/28 by Puheng Li, James Zou, Li, Puheng +3 · 1 citation
    Computer Science · Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  142. LitGen: Genetic Literature Recommendation Guided by Human Explanations
    2019/09/24 by Nie, Allen, Pineda, Arturo L., Wand, Matt W. Wright Hannah +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  143. Interpretable Differential Diagnosis with Dual-Inference Large Language Models
    2024/07/10 by Shuang Zhou, Mingquan Lin, Zhou, Shuang +10 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  144. Generative Evaluation of Complex Reasoning in Large Language Models
    2025/04/03 by Haowei Lin, Lin, Haowei, Xiangyu Wang +16 · 3 citations
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  145. Improving LLM Group Fairness on Tabular Data via In-Context Learning
    2024/12/05 by Valeriia Cherepanova, Chia-Jung Lee, Cherepanova, Valeriia +11 · 2 citations
    Computer Science · Social Sciences · #Privacy-Preserving Technologies in Data #Ethics and Social Impacts of AI
  146. Data Acquisition: A New Frontier in Data-centric AI
    2023/11/22 by Lingjiao Chen, Chen, Lingjiao, Bilge Acun +19 · 1 citation
    Decision Sciences · Business, Management and Accounting · Computer Science · #Data Quality and Management #Big Data and Business Intelligence #Privacy-Preserving Technologies in Data
  147. Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods
    2025/04/18 by Wang, Junlin, Zhu, Shang, Saad-Falcon, Jon +7 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  148. Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
    2024/08/30 by Zhang, Li, Jindal, Basu, Alaa, Ahmed +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  149. Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs
    2024/04/26 by Valeriia Cherepanova, James Zou, Cherepanova, Valeriia +1 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  150. In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
    2025/10/07 by Zhuofeng Li, Zhunan Li, Haoxiang Zhang +16 · 1 voice · 6 citations
    Computer Science · Decision Sciences · #Multi-Agent Systems and Negotiation #Simulation Techniques and Applications #cs.AI #cs.CL #cs.LG #cs.MA
  151. Proper Dataset Valuation by Pointwise Mutual Information
    2024/05/28 by Shuran Zheng, Xuan Qi, Zheng, Shuran +6 · 1 citation
    Business, Management and Accounting · Decision Sciences · #Big Data and Business Intelligence #Forecasting Techniques and Applications #Customer churn and segmentation
  152. 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)
  153. Efficient Online ML API Selection for Multi-Label Classification Tasks
    2021/02/18 by Lingjiao Chen, Matei Zaharia, Chen, Lingjiao +3 · 1 citation
    Computer Science · #Text and Document Classification Technologies #Web Data Mining and Analysis #Sentiment Analysis and Opinion Mining
  154. How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?
    2025/04/19 by Thapa, Rahul, Li, Andrew, Wu, Qingyang +8 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  155. Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers
    2025/02/25 by Kleidermacher, Hannah Calzi, Zou, James · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  156. Exploring the use of AI authors and reviewers at Agents4Science
    2025/11/19 by Bianchi, Federico, Queen, Owen, Thakkar, Nitya +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  157. 4KAgent: Agentic Any Image to 4K Super-Resolution
    2025/07/09 by Zuo, Yushen, Zheng, Qi, Wu, Mingyang +10 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  158. A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
    2025/05/25 by Yuzheng Hu, Hu, Yuzheng, Fan Wu +13 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Open Source Software Innovations #Reinforcement Learning in Robotics
  159. Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
    2025/07/03 by Wu, Shirley, Sarthi, Parth, Zhao, Shiyu +10 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  160. Neural Group Testing to Accelerate Deep Learning
    2020/11/21 by Weixin Liang, Liang, Weixin, James Zou +1 · 2 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #SARS-CoV-2 detection and testing #Machine Learning and Algorithms
  161. Provable Membership Inference Privacy
    2022/11/12 by Zachary Izzo, Jinsung Yoon, Izzo, Zachary +5 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques
  162. FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
    2024/11/04 by Fan Nie, Nie, Fan, Xiaotian Hou +9 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Adversarial Robustness in Machine Learning
  163. Improving Model Alignment Through Collective Intelligence of Open-Source LLMS
    2025/05/05 by Junlin Wang, Wang, Junlin, Roy Xie +15 · 2 citations
    Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #Computation and Language (cs.CL) #FOS: Computer and information sciences #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services
  164. EvoLM: In Search of Lost Language Model Training Dynamics
    2025/06/19 by Zhenting Qi, Fan Nie, Qi, Zhenting +15 · 1 voice · 1 citation
    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) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  165. When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought
    2025/11/04 by Zhou, Yiyang, Tu, Haoqin, Wang, Zijun +11 · 4 citations
    Computer Science · #Multimodal Machine Learning Applications #Data Visualization and Analytics #Generative Adversarial Networks and Image Synthesis
  166. TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
    2025/10/07 by Zou, Jiaru, Roy, Soumya, Verma, Vinay Kumar +6 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  167. Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models
    2025/12/10 by Magnus Ruud Kjær, Kjaer, Magnus Ruud, Rahul Thapa +17 · 2 citations
    Medicine · Neuroscience · Psychology · #Obstructive Sleep Apnea Research #EEG and Brain-Computer Interfaces #Sleep and related disorders
  168. S-Chain: Structured Visual Chain-of-Thought For Medicine
    2025/10/26 by Le-Duc, Khai, Nguyen, Duy M. H., Trinh, Phuong T. H. +21 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  169. SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning
    2025/01/07 by Andrew C. Li, Li, Andrew, Rahul Thapa +9 · 1 citation
    Computer Science · #Image Retrieval and Classification Techniques