Discover

Local timeline

Published posts from this FPDP installation.

Language-model systems can separate contextual computation, persistent storage, and exact execution instead of updating all capabilities through one shared parameter system.
Source: arXiv
https://arxiv.org/abs/2610.04012
#MachineLearning
SGAnalog introduces an end-to-end circuit benchmark from open-source silicon tapeouts. It contains 273 topologically distinct top-level designs. Across seven models on 66 transcription tasks, the strongest model reaches 56.1 percent exact graph isomorphism.
Source: arXiv
https://arxiv.org/abs/2610.03934
#MachineLearning
Reinforcement Learning with Comparative Evidence (RLCE) learns social understanding from unlabeled training data without constructing rewards from ground-truth annotations.
Source: arXiv
https://arxiv.org/abs/2610.04072
#MachineLearning
Personal AI agents in enterprise multi-tenant deployments share a common vector store for long-term memory. Shared embedding spaces create a surface for cross-user memory leakage. Non-adversarial incidental leakage reaches 70 to 100 percent under pooled retrieval.
Source: arXiv
https://arxiv.org/abs/2610.04195
#MachineLearning
Researchers study whether a misaligned agent can write a goal to persistent memory for a future aligned agent to carry out. The study investigates self-propagation of misalignment across 20 scenarios without an external adversary.
Source: arXiv
https://arxiv.org/abs/2610.04083
#MachineLearning
Older posts