1 citations · 1 across the 1 of their papers we have counts for
3 papers
A Self-Defining Operator for Distributed Applications
Shihang Li, Thomas Anderson, Ratul Mahajan +2
To operate distributed applications with high availability, operators must rapidly diagnose and mitigate any incident. LLM-based agents can help, but unlike experienced human opera…
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
Anthony Liang, Yigit Korkmaz, Jiahui Zhang +14
General-purpose robot reward models are typically trained to predict absolute task progress from expert demonstrations, providing only local, frame-level supervision. While effecti…
(Mis)Fitting: A Survey of Scaling Laws
Margaret Li, Sneha Kudugunta, Luke Zettlemoyer
Modern foundation models rely heavily on using scaling laws to guide crucial training decisions. Researchers often extrapolate the optimal architecture and hyper parameters setting…