---
id: 20260507-T0-04
title: "vLLM新版本优先提升推理正确性"
title_en: "vLLM Prioritizes Correctness in RL from V0 to V1"
url: https://ai.daily.yangsir.net/daily/20260507-T0-04
issue_date: 2026-05-07
publish_date: 2026-05-06T19:06:55.000Z
category: release
source_name: "Hugging Face Blog"
source_url: https://huggingface.co/blog/ServiceNow-AI/correctness-before-corrections
---

# vLLM新版本优先提升推理正确性

vLLM团队在最新版本中调整了强化学习策略，将模型推理正确性置于性能优化之前。新版本通过改进RLHF过程，显著提升了代码生成质量，减少了幻觉现象。这一调整表明AI模型训练正从单纯追求性能转向注重实用可靠性。

## English Version

**vLLM Prioritizes Correctness in RL from V0 to V1**

The vLLM team has adjusted its reinforcement learning strategy in the latest version, prioritizing reasoning correctness over performance optimization. By improving the RLHF process, the new version significantly enhances code generation quality and reduces hallucinations. This shift indicates AI model training is moving from pure performance focus to practical reliability.

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**来源**：[Hugging Face Blog](https://huggingface.co/blog/ServiceNow-AI/correctness-before-corrections)

**详情页**：https://ai.daily.yangsir.net/daily/20260507-T0-04

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