273 citations · 1.1k across the 56 of their papers we have counts for
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cs.AI2026
Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?
Ming Zhong, Stacy Li, Nicholas Carlini +1
Frontier coding agents are increasingly framed as end-to-end automated researchers, and ML for science offers a demanding test of that promise: improving a scientific model often r…
cs.AI2025
In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI
Shayne Longpre, Kevin Klyman, Ruth E. Appel +31
The widespread deployment of general-purpose AI (GPAI) systems introduces significant new risks. Yet the infrastructure, practices, and norms for reporting flaws in GPAI systems re…