DP-AdamW: Investigating Decoupled Weight Decay and Bias Correction in Private Deep Learning
机构 * Harvard University（哈佛大学）
Comments 19 pages, 5 appendices; presented at ICML 2025 DIG-BUGS Workshop
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
机构 * University of California, Santa Cruz（加州大学圣克ruz分校） ； Center for Advanced AI, Accenture（Accenture高级人工智能中心）
Comments Please refer to the NeurIPS 2025 submission: https://openreview.net/forum?id=FNuul0hlin The paper has been accepted to the ICML 2025 MUGen Workshop: https://openreview.net/forum?id=ET24oKP23c
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
机构 * stanford（斯坦福大学）
Comments ICML 2025
