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Hughes, John

  1. Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
    2024/04/01 by Matthias Gerstgrasser, Gerstgrasser, Matthias, Rylan Schaeffer +26 · 16 voices · 31 citations
    Computer Science · #Semantic Web and Ontologies #cs.AI #cs.CL #cs.ET #cs.LG #stat.ML
  2. Best-of-N Jailbreaking
    2024/12/04 by John D. Hughes, John Hughes, Sara Price +18 · 17 voices · 14 citations
    Computer Science · #Digital and Cyber Forensics #cs.AI #cs.CL #cs.LG
  3. Looking Inward: Language Models Can Learn About Themselves by Introspection
    2024/10/17 by Felix J Binder, Binder, Felix J, James Chua +15 · 4 voices · 36 citations
    Computer Science · #Natural Language Processing Techniques
  4. Why Do Some Language Models Fake Alignment While Others Don't?
    2025/06/22 by Abhay Sheshadri, John Hughes, Sheshadri, Abhay +10 · 4 voices · 7 citations
    #cs.LG
  5. Hierarchical Quantized Autoencoders
    2020/02/19 by Will Williams, Williams, Will, Sam Ringer +10 · 1 voice · 6 citations
    Computer Science · #Advanced Data Compression Techniques #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #cs.CV #cs.LG #cs.NE #stat.ML
  6. Debating with More Persuasive LLMs Leads to More Truthful Answers
    2024/02/09 by Akbir Khan, Khan, Akbir, John Hughes +17 · 47 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Legal Education and Practice Innovations
  7. Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
    2024/07/21 by Rylan Schaeffer, Schaeffer, Rylan, Dan Valentine +27 · 9 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)
  8. How Do Large Language Monkeys Get Their Power (Laws)?
    2025/02/24 by Rylan Schaeffer, Joshua Kazdan, Schaeffer, Rylan +14 · 10 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG)
  9. Beginner's Luck: A Language for Property-Based Generators
    2016/07/19 by Lampropoulos, Leonidas, Gallois-Wong, Diane, Hritcu, Catalin +3 · 2 citations
    #FOS: Computer and information sciences #Programming Languages (cs.PL)
  10. SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents
    2025/06/17 by Kutasov, Jonathan, Sun, Yuqi, Colognese, Paul +9 · 11 citations
    Computer Science · Medicine · #Multimodal Machine Learning Applications #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)
  11. Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models
    2010/11/30 by Hughes, John, Haran, Murali · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
  12. On the Occasional Exactness of the Distributional Transform\n Approximation for Direct Gaussian Copula Models with Discrete Margins
    2021/03/05 by John P. Hughes, Hughes, John · 1 citation
    Mathematics · Economics, Econometrics and Finance · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference #Financial Risk and Volatility Modeling
  13. krippendorffsalpha: An R Package for Measuring Agreement Using\n Krippendorff's Alpha Coefficient
    2021/03/22 by John P. Hughes, Hughes, John · 1 citation
    Decision Sciences · Medicine · #Reliability and Agreement in Measurement #Hemodynamic Monitoring and Therapy
  14. Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach
    2024/12/03 by Tony T. Wang, Wang, Tony T., John Hughes +17 · 1 voice · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.CR #cs.LG