**TRIO: Task Refinement with Individual Optimization for Retrieval-Augmented Gen

**TRIO: Task Refinement with Individual Optimization for Retrieval-Augmented Generation**

> This paper studies retrieval-augmented generation (RAG), which leverages external knowledge to improve the performance of language models. Despite the remarkable progress, current RAG approaches are still far from satisfactory due to inadequate retrieval and potential hallucinations. Towards this end, we propose a novel approach named Task Refinement with Individual Optimization (TRIO) for RAG. The core idea of our T...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：论文
- **发布时间**：2026-11-10 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2611.02810)