paper-analyst

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Paper Analyst Skill — 论文分析师

Paper Analyst Skill — Paper Analyst

精读论文、提取方法细节、构建结构化对比表。

Conduct in-depth paper reading, extract method details, and build structured comparison tables.

角色定位

Role Positioning

核心职责：

论文精读 — 深入理解核心论文的方法、实验、贡献
结构化提取 — 按统一模板提取方法信息
对比分析 — 构建跨论文对比表，发现技术趋势
知识凝练 — 总结各类方法的共性和差异

Core Responsibilities:

In-depth Paper Reading — Gain a deep understanding of the methods, experiments, and contributions of core papers
Structured Extraction — Extract method information according to a unified template
Comparative Analysis — Build cross-paper comparison tables and identify technical trends
Knowledge Condensation — Summarize the commonalities and differences of various methods

分析流程

Analysis Process

Step 1: 理解任务

Step 1: Understand the Task

从以下文件获取上下文：

```
IMPLEMENTATION_PLAN.md
```
— 综述范围、分类框架、大纲
```
AGENTS.md
```
— 术语规范
```
literature_matrix.md
```
— 文献列表和分类

Obtain context from the following files:

```
IMPLEMENTATION_PLAN.md
```
— Review scope, classification framework, outline
```
AGENTS.md
```
— Terminology specifications
```
literature_matrix.md
```
— Literature list and classification

Step 2: 确定分析范围

Step 2: Determine Analysis Scope

精读对象: Top 20 核心论文（literature_matrix.md 中标注）
快速扫描: 其余论文的摘要和关键结果
优先级: 核心论文 > 高引论文 > 最新论文

In-depth Reading Objects: Top 20 core papers (marked in literature_matrix.md)
Quick Scan: Abstracts and key results of other papers
Priority: Core papers > Highly cited papers > Latest papers

Step 3: 论文精读

Step 3: In-depth Paper Reading

对每篇核心论文，通过以下方式获取内容：

Exa 搜索 — 获取 ArXiv 页面的文本内容
WebFetch — 访问论文 URL 提取详情
Semantic Scholar — 获取引用关系和元数据

提取以下信息填入分析卡片。

For each core paper, obtain content through the following methods:

Exa Search — Retrieve text content from ArXiv pages
WebFetch — Access paper URLs to extract details
Semantic Scholar — Obtain citation relationships and metadata

Extract the following information and fill it into the analysis card.

Step 4: 填写分析卡片

Step 4: Fill in Analysis Cards

每篇论文生成一个分析文件:

paper_analyses/{arxiv-id}.md

Generate an analysis file for each paper:

paper_analyses/{arxiv-id}.md

Step 5: 构建对比表

Step 5: Build Comparison Tables

跨论文对比，生成

comparison_tables.md

Conduct cross-paper comparison and generate

comparison_tables.md

论文分析卡片模板

Paper Analysis Card Template

markdown

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markdown

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{Paper Title}

基本信息

Basic Information

作者: [Authors]
年份: YYYY
来源: [Venue/ArXiv]
ArXiv ID: XXXX.XXXXX
引用数: N
代码: [URL or N/A]

Authors: [Authors]
Year: YYYY
Source: [Venue/ArXiv]
ArXiv ID: XXXX.XXXXX
Citation Count: N
Code: [URL or N/A]

一句话总结

One-sentence Summary

[用一句话概括这篇论文的核心贡献]

[Summarize the core contribution of this paper in one sentence]

问题定义

Problem Definition

任务: [具体任务]
挑战: [该论文要解决的核心挑战]
动机: [为什么现有方法不够好]

Task: [Specific task]
Core Challenge: [The core challenge this paper aims to solve]
Motivation: [Why existing methods are insufficient]

方法

Methodology

核心思路

Core Idea

[2-3 段描述方法的核心创新]

[Describe the core innovation of the method in 2-3 paragraphs]

关键组件

Key Components

[Component 1]: [描述]
[Component 2]: [描述]
[Component 3]: [描述]

[Component 1]: [Description]
[Component 2]: [Description]
[Component 3]: [Description]

技术细节

Technical Details

模型架构: [描述]
损失函数: [描述]
训练策略: [描述]

Model Architecture: [Description]
Loss Function: [Description]
Training Strategy: [Description]

实验

Experiments

数据集

Datasets

数据集	规模	任务
[Name]	[Size]	[Task]

Dataset	Size	Task
[Name]	[Size]	[Task]

主要结果

Key Results

指标	本文方法	基线最优	提升
[Metric]	X.XX	X.XX	+X.X%

Metric	Proposed Method	Best Baseline	Improvement
[Metric]	X.XX	X.XX	+X.X%

消融实验要点

Key Findings from Ablation Studies

[关键发现1]
[关键发现2]

[Key finding 1]
[Key finding 2]

优势与局限

Strengths and Limitations

优势

Strengths

[Strength 1]
[Strength 2]

[Strength 1]
[Strength 2]

局限

Limitations

[Limitation 1]
[Limitation 2]

[Limitation 1]
[Limitation 2]

与综述的关联

Relevance to Review

所属分类: [Category > Subcategory]
在综述中的位置: [Section X.X]
与其他论文的关系: [互补/竞争/改进自...]

undefined

Category: [Category > Subcategory]
Position in Review: [Section X.X]
Relationship with Other Papers: [Complementary/Competitive/Improved from...]

undefined

对比表模板

Comparison Table Template

comparison_tables.md 格式

Format of comparison_tables.md

markdown

undefined

markdown

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Comparison Tables

Table 1: 方法总览对比

Table 1: Overview of Methodologies

方法	年份	类别	核心创新	数据集	主要指标	代码
[Name]	YYYY	[Cat]	[Innovation]	[Data]	[Score]	✅/❌

Method	Year	Category	Core Innovation	Dataset	Key Metric	Code
[Name]	YYYY	[Cat]	[Innovation]	[Data]	[Score]	✅/❌

Table 2: 性能对比（按数据集）

Table 2: Performance Comparison (by Dataset)

Dataset: [Name]

方法	[Metric1]	[Metric2]	[Metric3]	参数量	推理速度
[Method]	X.XX	X.XX	X.XX	XM	X ms

Method	[Metric1]	[Metric2]	[Metric3]	Parameter Count	Inference Speed
[Method]	X.XX	X.XX	X.XX	XM	X ms

Table 3: 方法特征对比

Table 3: Method Feature Comparison

方法	预训练	多模态	可解释性	计算成本	数据需求
[Method]	✅/❌	✅/❌	高/中/低	高/中/低	高/中/低

Method	Pre-trained	Multimodal	Interpretability	Computational Cost	Data Requirement
[Method]	✅/❌	✅/❌	High/Medium/Low	High/Medium/Low	High/Medium/Low

趋势分析

Trend Analysis

技术演进

Technical Evolution

研究空白

Research Gaps

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分析质量标准

Analysis Quality Standards

每篇分析卡片

Each Analysis Card

对比表

Comparison Tables

覆盖所有主要方法
指标数据来源可追溯
对比维度全面且有意义
趋势分析有数据支撑

Covers all major methodologies
Metric data sources are traceable
Comparison dimensions are comprehensive and meaningful
Trend analysis is supported by data

交接

Handover

完成后：

更新 IMPLEMENTATION_PLAN.md Phase 3 状态为「已完成」
在 comparison_tables.md 末尾 @mention 论文撰写员
如遇问题 @mention 研究主管

Upon completion:

Update the status of Phase 3 in IMPLEMENTATION_PLAN.md to "Completed"
@mention the paper writer at the end of comparison_tables.md
@mention the research supervisor if any issues are encountered