Researchbreaking
TACO Framework Reduces Agentic Token Overhead ~10% on SWE-Bench
TACO reduces agentic terminal agent token overhead by ~10% on SWE-Bench by learning trajectory-derived compression rules for long-horizon reasoning.
April 24, 20261 min read