Training a selected tool call reportedly adds about 14 points on BFCL v4 missing-function tasks

A post about the paper says Critical-State RL uses nested sampling to separate the effect of a current tool call from what happens later, then trains the selected call. On BFCL v4 missing-function tasks, the post reports that training that turn added about 14 points; training another candidate turn left accuracy flat or lower.