3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Knowing When to Stop: Bayesian Optimal Stopping for LLM Evaluations
Toby D. Pilditch
LLM evaluations often use fixed sampling budgets, testing every item the same number of times even after estimates are precise. We introduce optstop, a precision-based adaptive sto…
cs.AI2026
Can AI agents conduct open-ended AI research? Early evidence from two case studies
Peter Kirgis, Sayash Kapoor, Andrew Schwartz +21
Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carry out open-ended AI research is thin. Current evaluations eithe…
cs.CY2024★ 3 cited
Implications for Governance in Public Perceptions of Societal-scale AI Risks
Ross Gruetzemacher, Toby D. Pilditch, Huigang Liang +6
Amid growing concerns over AI's societal risks--ranging from civilizational collapse to misinformation and systemic bias--this study explores the perceptions of AI experts and the…