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AutoHarness: Improving LLM Agents via Automated Code Harness Synthesis

📅 2026-03-17 06:59 马东锡 NLP 人工智能 1 分鐘 802 字 評分: 84
AutoHarness LLM Agents Code Synthesis Research Paper Arxiv
📌 一句话摘要 A research paper introducing AutoHarness, a method to improve LLM agents by automatically synthesizing code harnesses. 📝 详细摘要 This tweet provides the formal reference and link to the 'AutoHarness' research paper. The paper details a method for improving Large Language Model (LLM) agents th

📌 一句话摘要

A research paper introducing AutoHarness, a method to improve LLM agents by automatically synthesizing code harnesses.

📝 详细摘要

This tweet provides the formal reference and link to the 'AutoHarness' research paper. The paper details a method for improving Large Language Model (LLM) agents through the automatic synthesis of code harnesses, addressing the manual engineering bottleneck mentioned in the previous tweet. It serves as the technical evidence and deep-dive resource for the AutoHarness concept.

📊 文章信息

AI 评分:84

来源:马东锡 NLP(@dongxi_nlp)

作者:马东锡 NLP

分类:人工智能

语言:英文

阅读时间:1 分钟

字数:103

标签: AutoHarness, LLM Agents, Code Synthesis, Research Paper, Arxiv

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查看原文 → 發佈: 2026-03-17 06:59:06 收錄: 2026-03-17 10:01:00

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