A comparative study of zero-shot authorship attribution (ZS AA) found that the two-stage LISA framework, which combines candidate space reduction with embedding-dimension selection, achieved the stron…
Researchers propose LAMDA (Language-Anchored Model for Direction Alignment), a training framework that improves traffic sign recognition robustness against physical adversarial attacks without using a…
Researchers propose LISA (Linear-Indexed Sparse Attention), a plug-and-play attention module that reduces inference complexity from O(n^2) to O(nM) for long-context reasoning models. Experiments on De…
Most AI safety talent is concentrated in a few cities, limiting career transitions for mid-career professionals and reducing intellectual diversity. The author argues for creating more AI safety hubs—…
ARENA (Alignment Research Engineer Accelerator) announced its ninth iteration, a 4-5 week ML bootcamp focused on AI safety, running in-person at LISA in London from October 5 to November 6, 2026. Appl…
Iliad, an umbrella organization for applied mathematics in AI alignment, announced its Fall 2026 programs, including an accelerated three-week intensive in Berkeley and a three-month mentored research…