arXiv 2610.20344 · cs.SE · 2026-10-14
Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents
Yuyao Ge, Shenghua Liu, Peizhong Gao, Chendi Ge, Chenxu Liu, Yiwei Wang, Lingrui Mei, Baolong Bi 等 11 人
Institute of Computing Technology
在最新榜 #91 本站收录于 2026-10-21
一句话要点
Doc2Harness 直接评测大模型能否按开发文档从零搭建长任务编程 Agent 的执行框架。
Doc2Harness directly benchmarks whether LLMs can engineer a long-horizon coding-agent harness from a development document.
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主题与学科
同主题：智能体
- Raven: The Harness of Harnesses for Composable Agentic Intelligence ▲748
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents ▲642
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲490
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- Player-1: Learning to Play from Synthetic Experience ▲348
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。