decision-reuse

#decision-reuse

@xiangxiang103: This new paper from Tsinghua × Microsoft Research Asia — my biggest takeaway after reading it: DSH is seriously underrated! The paper is about HarnessMM, a method that stops agents from "rethinking everything from scratch after each step." It uses Codex and DeepSeek Harness, two industrial-grade harnesses, as experimental subjects…

X AI KOLs Timeline ↗ · 3d ago Cached

The HarnessMM paper, a collaboration between Tsinghua University and Microsoft Research Asia, proposes improving agent harness token efficiency through protected decision reuse and recursive self-improvement. Experiments show DeepSeek Harness (DSH) benefits significantly: HumanEval success rate rises from 71.43% to 85.71% with 87.93% fewer tokens per problem, while Codex only saves 29.54%.

0 favorites 0 likes

decision-reuse

Submit Feedback