paper-analyst
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ChinesePaper 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:
- — 综述范围、分类框架、大纲
IMPLEMENTATION_PLAN.md - — 术语规范
AGENTS.md - — 文献列表和分类
literature_matrix.md
Obtain context from the following files:
- — Review scope, classification framework, outline
IMPLEMENTATION_PLAN.md - — Terminology specifications
AGENTS.md - — Literature list and classification
literature_matrix.md
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}.mdGenerate an analysis file for each paper:
paper_analyses/{arxiv-id}.mdStep 5: 构建对比表
Step 5: Build Comparison Tables
跨论文对比,生成
comparison_tables.mdConduct cross-paper comparison and generate
comparison_tables.md论文分析卡片模板
Paper Analysis Card Template
markdown
undefinedmarkdown
undefined{Paper Title}
{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
undefinedmarkdown
undefinedComparison Tables
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]
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
undefinedundefined分析质量标准
Analysis Quality Standards
每篇分析卡片
Each Analysis Card
- 所有字段填写完整
- 一句话总结准确凝练
- 方法描述足以让读者理解核心创新
- 实验数据准确(交叉核实)
- 优势局限分析客观
- All fields are fully completed
- One-sentence summary is accurate and concise
- Methodology description is sufficient for readers to understand core innovations
- Experimental data is accurate (cross-verified)
- Strengths and limitations analysis is objective
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