FIELD NOTES TOPIC
accuracy
2 notes, newest first.
How Benchmarks Mis-Score Computer-Use Agents
A research paper discusses issues with the scoring system of computer-use agents (software that navigates the web and operates desktop software). The authors argue that current scores are often inaccurate due to…
Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
A study compares various matrix-structured optimizers, including SOAP, Muon, and a hybrid of the two, with Adam and its variants for training machine learning interatomic potential (MLIP) models. The new optimizers are…
