Few Trials, Many Metrics: Beta Mixtures for Low-Budget AI Evaluation
arXiv:2611.00474v1 Announce Type: new Abstract: Evaluating a stochastic AI system often requires many repeated samples per instance, especially for metrics defined over long horizons. Recent work has shown that modeling instance-level success…
Read the full story at arXiv cs.AI ↗
ImpactNotable
Published14 h ago (Tue, 03 Nov 2026 05:00:00 GMT)
AuthorGustavo Tironi, Felipe Maia Polo, Diego Mesquita
MoreLess
Impact score31/100
RatingRule-based estimate: event keywords (+4); trust 6/10.
RegionsGlobal
Retrievedvia rss
ClassifiedTue, 03 Nov 2026 13:09:02 GMT by heuristic