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- KoyejoLab-Large-How-Do-Language-Monkey-Power-Get-Their-Power
KoyejoLab-Large-How-Do-Language-Monkey-Power-Get-Their-Power PublicCode for ICML 2025 How Do Large Language Monkeys Get Their Power (Laws)?
Python 2
- KoyejoLab-Collapse-or-Thrive
KoyejoLab-Collapse-or-Thrive PublicCode for ICML 2025 Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
- AstraFellowship-When-Do-VLM-Image-Jailbreaks-Transfer
AstraFellowship-When-Do-VLM-Image-Jailbreaks-Transfer PublicCode for ICLR 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
- KoyejoLab-Why-Has-Predicting-Downstream-Capabilities-Remained-Elusive
KoyejoLab-Why-Has-Predicting-Downstream-Capabilities-Remained-Elusive PublicCode for ICML 2025 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
- Stanford-AI-Alignment-Double-Descent-Tutorial
Stanford-AI-Alignment-Double-Descent-Tutorial PublicCode for Arxiv Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
- KoyejoLab-Min-p-Sampling
KoyejoLab-Min-p-Sampling PublicCode for Arxiv 2025 Min-P, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models
Python 7
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