Rylan Schaeffer

1. Are Emergent Abilities of Large Language Models a Mirage?
   2023/04/28 by Rylan Schaeffer, Schaeffer, Rylan, Brando Miranda +3 · 20 voices · 77 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.LG
2. Pretraining on the Test Set Is All You Need
   2023/09/13 by Rylan Schaeffer, Schaeffer, Rylan · 16 voices · 6 citations
   #cs.CL #cs.AI
3. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
   2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1347 citations
   #cs.CL #cs.AI
4. 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 · 31 citations
   Computer Science · #Semantic Web and Ontologies #cs.AI #cs.CL #cs.ET #cs.LG #stat.ML
5. 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
6. Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
   2023/03/24 by Rylan Schaeffer, Mikail Khona, Schaeffer, Rylan +13 · 4 voices · 4 citations
   #cs.LG #stat.ML
7. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
   2023/06/20 by Boxin Wang, Wang, Boxin, Weixin Chen +35 · 58 citations
   Computer Science · Medicine · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI
8. A brain-wide map of neural activity during complex behaviour
   2025/09/03 by Leenoy Meshulam, Dora E. Angelaki, Julius Benson +97 · 4 voices · 42 citations
   Neuroscience · #Neural dynamics and brain function #Neuroscience and Neuropharmacology Research #Memory and Neural Mechanisms
9. Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
   2024/10/22 by Joshua Kazdan, Kazdan, Joshua, Rylan Schaeffer +11 · 2 voices · 9 citations
   #cs.LG #cs.AI
10. Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
    2025/06/24 by Rylan Schaeffer, Schaeffer, Rylan, Joshua Kazdan +25 · 2 voices · 2 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
11. Investigating Data Contamination for Pre-training Language Models
    2024/01/11 by Minhao Jiang, Jiang, Minhao, Ken Ziyu Liu +11 · 11 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
12. Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
    2024/06/06 by Rylan Schaeffer, Schaeffer, Rylan, Hailey Schoelkopf +15 · 13 citations
    Computer Science · #Explainable Artificial Intelligence (XAI)
13. Quantifying Variance in Evaluation Benchmarks
    2024/06/14 by Lovish Madaan, Madaan, Lovish, Aaditya K. Singh +13 · 11 citations
    Decision Sciences · #Artificial Intelligence (cs.AI) #Evaluation and Performance Assessment #FOS: Computer and information sciences #Machine Learning (cs.LG)
14. 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)
15. 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)
16. Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
    2023/11/04 by Rylan Schaeffer, Schaeffer, Rylan, Mikail Khona +9 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Neuroscience · #Single-cell and spatial transcriptomics #Cell Image Analysis Techniques #Neural dynamics and brain function
17. Position: Model Collapse Does Not Mean What You Think
    2025/03/05 by Rylan Schaeffer, Schaeffer, Rylan, Joshua Kazdan +5 · 6 citations
    Computer Science · Social Sciences · #Generative Adversarial Networks and Image Synthesis #Computational and Text Analysis Methods #Explainable Artificial Intelligence (XAI)
18. Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach
    2024/12/03 by Tony T. Wang, John Hughes, Wang, Tony T. +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