---
id: 20260520-T0-08
title: "Solvita：通过智能体进化提升LLM编程能力"
title_en: "Solvita Enhances LLM Programming via Agentic Evolution"
url: https://ai.daily.yangsir.net/daily/20260520-T0-08
issue_date: 2026-05-20
publish_date: 2026-05-19T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.15301
---

# Solvita：通过智能体进化提升LLM编程能力

研究人员开发了Solvita系统，通过智能体进化方法提升大语言模型在 competitive programming中的表现。该系统解决了现有多智能体框架无状态的问题，能够动态检索和优化编程策略。实验显示，Solvita显著提高了LLM解决复杂编程问题的可靠性。

## English Version

**Solvita Enhances LLM Programming via Agentic Evolution**

Researchers developed Solvita, a system that enhances LLM performance in competitive programming through agentic evolution. It addresses the stateless nature of existing multi-agent frameworks by dynamically retrieving and optimizing programming strategies. Experiments show Solvita significantly improves LLM reliability in solving complex programming problems.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.15301)

**详情页**：https://ai.daily.yangsir.net/daily/20260520-T0-08

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