研究库 论文知识库

内容库 / 论文

arXiv:2610.02191 · 评测基准

The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models

The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models

类型：arxiv
标识：2610.02191
链接：https://arxiv.org/abs/2610.02191
主分类：evaluation
形态：benchmark
TLDR：While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. In this paper, we take a first step toward systematically studying mathematical understanding in LLMs, from diagnosing its distinct capabilities to leveraging these findings to improve post-training. First, we introduce the notion of Mathematical Primitive to probe structural mathematical understanding and propose , a novel benchmark that evaluates mathematical reasoning along
待LLM分类：否
来源文件：
/inbox/tom/_candidates/2026-10-06-agent-rag-longcontext-candidates.json

相关 · 按语义匹配

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

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

笔记 Anthropic / Claude · AI 动态

仓库 deekshith318/AI-language-models-impact

笔记精读与批判：CrossMath —— VLM 是真在「看」还是在「读」？

笔记 LongHarness Bench · flyP 精读与批判（2026-10-02 1550）

arXiv

2610.02191

TLDR

While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. In this paper, we take a first step toward systematically studying mathematical understanding in LLMs, from diagnosing its distinct capabilities to leveraging these findings to improve post-training. First, we introduce the notion of Mathematical Primitive to probe structural mathematical understanding and propose , a novel benchmark that evaluates mathematical reasoning along

相关解读

arXiv ↗ 中文全文