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#artificial intelligence Review Oct 2026

When Agents Fail: Model or Harness--Who's to Blame?

LLM agents combine models with execution harnesses, so agentic benchmark performance reflects their joint behavior. We argue that harnesses should therefore be evaluated through their interactions with underlying models. We develop a framework combining five complementary measures: (i) Valid Completion Rate (VCR), how...

Shao Zhang, Hang-Fan Zhang, Yuan-Yuan Shi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement

In a multi-day deployment with more than 70 iterations, HoH autonomously develops a first-person-shooter game, featuring a coherent storyline, fully implemented core mechanics, human-playable experience, polished visuals and integrated audio.

Hao Yan, Min-Le Su, Hang-Fan Zhang et al. · 4 citations

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