4 citations · 4 across the 1 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.AI2026
The Wealth of Agents: Scaling Agentic AI Across Developers
Austin W. Hanjie, Carlos E. Jimenez, Zirui Wang +1
Today's agentic systems are typically designed, built, and deployed by single developers with full control over all participating agents. While this simplifies development, it limi…
stat.ML2026
Towards Calibrated Probabilistic Forecasts for Events of Interest via Outcome-Conditional Recalibration
Jakob Benjamin Wessel, Sam Allen
Calibration is an essential requirement for probabilistic predictions to be useful for decision making. While state-of-the-art prediction methods often yield miscalibrated predicti…