---
id: 20260319-T0-14
title: "MoLoRA：多模态生成的新型适配器路由"
title_en: "MoLoRA: Per-Token Adapter for Multimodal Generation"
url: https://ai.daily.yangsir.net/daily/20260319-T0-14
issue_date: 2026-03-19
publish_date: 2026-03-18T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2603.15965
---

# MoLoRA：多模态生成的新型适配器路由

斯坦福大学提出MoLoRA架构，解决多模态生成的适配器路由问题。现有系统将整个序列路由到单一适配器，无法处理跨领域请求。新方法实现按token级别的动态适配器选择，在文本图像生成任务中BLEU分数提升18%。模型开发者可用此技术构建更高效的多模态系统，降低计算成本。

## English Version

**MoLoRA: Per-Token Adapter for Multimodal Generation**

Stanford researchers introduce MoLoRA architecture solving adapter routing for multimodal generation. Existing systems route entire sequences to single adapters, failing for cross-domain requests. New method enables per-token dynamic adapter selection, improving BLEU score by 18% in text-image generation tasks. Model developers can build more efficient multimodal systems with this technology, reducing computational costs.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2603.15965)

**详情页**：https://ai.daily.yangsir.net/daily/20260319-T0-14

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