MASS: Recursive Self-Improvement through Multi-Agent Self-Supervision
“After the second cycle, score per output token reached 1.2-1.6x the base model's level across four research benchmarks.”
- contradicted Gains across three research benchmarks. Four: MLR-Bench, DSBench, ScienceAgentBench, AstaBench E2E-Hard.
- left out Score per output token fell below the base model: 0.96× on Terminal-Bench 2.0, 0.94× on SWE-bench Verified.