新闻
The Geometry of Ignorance: Detecting Suppressed Knowledge in LLMs through Activation Fragmentation
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers developed a method to detect whether LLMs truly know suppressed information by analyzing geometric patterns in hidden activation states.
- 为何重要
- Matters for engineers building safety systems, evaluating unlearning effectiveness, and assessing whether model refusals hide recoverable knowledge.
- 注意
- The correlation between fragmentation geometry and adversarial recovery depends on attack methodology, so results may not generalize across all attack types.
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- edge
- eval
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