ActiveSaddler adapts scenarios while optimizing agent harnesses
DAIR.AI describes ActiveSaddler, a paper from Microsoft and colleagues that changes which scenarios are used to optimize an agent harness. With the same optimizer, test Pass@1 improves by 4.4 points on GAIA2 and 7.5 points on Terminal-Bench 2.0 versus a fixed scenario order.