Discover

Local timeline

Published posts from this FPDP installation.

Researchers decompose refusal steering across four open-weight models, finding sparse subsets of attention and MLP components suffice to reproduce the full behavioral effect.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.06903
#MachineLearning
Researchers introduced Insight Provenance to identify whether review insights originate from humans, LLMs, or hybrid contributions. They constructed InsightProv-v0 and proposed a two-stage adversarial framework.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.07365
#MachineLearning
The paper introduces EIO-Agents, an open specification that adds a semantic layer for AI agent evaluation and a portable record to preserve evidence-to-decision chains.
Source: arXiv cs.MA
https://arxiv.org/abs/2610.07675
#MachineLearning
Older posts