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Brian R. Bartoldson

  1. Latent Iteration as Renormalization: Inference-Time Recurrence in a Depth-Recurrent Transformer Flows Attention Geometry Toward the SYK Conformal Fixed Point
    2025/02/07 by Jonas Geiping, Sean McLeish, Geiping, Jonas +16 · 25 voices · 87 citations
    Computer Science · #Advanced Database Systems and Queries #Graph Theory and Algorithms #Natural Language Processing Techniques #cs.CL #cs.LG
  2. The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text
    2025/06/05 by Nikhil Kandpal, Brian Lester, Kandpal, Nikhil +51 · 20 voices · 9 citations
    Computer Science · Medicine · #Topic Modeling #Hate Speech and Cyberbullying Detection #Artificial Intelligence in Healthcare and Education
  3. Transformers Can Do Arithmetic with the Right Embeddings
    2024/05/27 by Sean McLeish, Arpit Bansal, McLeish, Sean +20 · 5 voices · 18 citations
    Computer Science · #cs.LG #cs.AI
  4. NEFTune: Noisy Embeddings Improve Instruction Finetuning
    2023/10/09 by Neel Jain, Ping-yeh Chiang, Jain, Neel +23 · 13 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  5. Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
    2024/08/10 by Jacob K. Christopher, Brian R. Bartoldson, Christopher, Jacob K +5 · 13 citations
    Computer Science · #Natural Language Processing Techniques
  6. Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
    2025/06/02 by Haizhong Zheng, Zheng, Haizhong, Yang Zhou +11 · 29 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation
  7. Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
    2024/03/18 by Junyuan Hong, Hong, Junyuan, Jinhao Duan +27 · 10 citations
    Computer Science · #Advanced Data Storage Technologies #Artificial Intelligence (cs.AI) #Blockchain Technology Applications and Security #Computation and Language (cs.CL) #Cryptography and Data Security #FOS: Computer and information sciences
  8. Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
    2024/04/14 by Brian R. Bartoldson, Bartoldson, Brian R., James Diffenderfer +5 · 10 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. The Generalization-Stability Tradeoff In Neural Network Pruning
    2019/06/09 by Brian R. Bartoldson, Bartoldson, Brian R., Ari S. Morcos +5 · 4 citations
    Computer Science · Physics and Astronomy · #Neural Networks and Applications #Model Reduction and Neural Networks #Reinforcement Learning in Robotics
  10. A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
    2021/06/16 by James Diffenderfer, Brian R. Bartoldson, Diffenderfer, James +7 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
  11. ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
    2024/06/06 by Haizhong Zheng, Elisa Tsai, Zheng, Haizhong +11 · 2 citations
    Computer Science · #Rough Sets and Fuzzy Logic #Fuzzy Logic and Control Systems
  12. Models Out of Line: A Fourier Lens on Distribution Shift Robustness
    2022/07/08 by Sara Fridovich-Keil, Brian R. Bartoldson, Fridovich-Keil, Sara +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security
    2025/04/29 by Zikui Cai, Shayan Shabihi, Cai, Zikui +13 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Security and Verification in Computing
  14. Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness
    2025/01/16 by Zeyu Wang, Wang, Zeyu, Cihang Xie +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning