研究库 论文知识库

内容库 / 论文

arXiv:2610.03136 · RAG 检索增强

Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation

Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation

类型：arxiv
标识：2610.03136
链接：http://arxiv.org/abs/2610.03136v1
主分类：rag
形态：method
TLDR：Reasoning traces improve large language models (LLMs), but current models are trained to reason mostly in English. It has been shown that forcing a model to reason in another language degrades accuracy, even when the reasoning language matches the language of the prompt -- but only for a setting where the model reasons over a short prompt. Here, we ask whether the same holds for retrieval-augmented generation (RAG), where the model must read and integrate a large amount of retrieved evidence in the target language. To study this, we build a fully monolingual German RAG question-answering testb
副分类：risk
待LLM分类：否
来源文件：
/inbox/tom/_candidates/2026-10-05-agent-rag-longcontext-candidates.json

相关 · 按语义匹配

仓库 deekshith318/AI-language-models-impact

笔记精读与批判 v2 · Where Reliability Lives in Vision-Language Models · 2026-08-31 22:50 (重写覆盖)

笔记精读笔记：Characterizing State Space Model and Hybrid Language Model Performance with Long Context

笔记 Cool Papers · cs.CL (papers.cool) · RSS 摘要

文档 Stephen 自测 · R64 · 2026-09-03

笔记 KVAE Tokenizers arXiv:2608.05798 · multimodal · 精读与批判 v2

arXiv

2610.03136

TLDR

Reasoning traces improve large language models (LLMs), but current models are trained to reason mostly in English. It has been shown that forcing a model to reason in another language degrades accuracy, even when the reasoning language matches the language of the prompt -- but only for a setting where the model reasons over a short prompt. Here, we ask whether the same holds for retrieval-augmented generation (RAG), where the model must read and integrate a large amount of retrieved evidence in the target language. To study this, we build a fully monolingual German RAG question-answering testb

相关解读

arXiv ↗ 中文全文