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sci-paper-cn

sci-paper-cn

按 CVPR、ICCV、NeurIPS、ICML、ACL、ICLR 等顶级会议惯例撰写、排版与呈现科研论文的结构化指南。覆盖全流程:分章节起草、图表设计、LaTeX 排版、叙事逻辑与投稿前打磨。适用于撰写、修改或将手稿排版成 camera-ready 或预印本 PDF。

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: sci-paper-cn description: "按 CVPR、ICCV、NeurIPS、ICML、ACL、ICLR 等顶级会议惯例撰写、排版与呈现科研论文的结构化指南。覆盖全流程:分章节起草、图表设计、LaTeX 排版、叙事逻辑与投稿前打磨。适用于撰写、修改或将手稿排版成 camera-ready 或预印本 PDF。"


SCI Paper Writing Skill

Guidance for producing publication-quality scientific research papers, extracted from analysis of the ResNet (He et al., CVPR 2016 Best Paper) SOTA artifact and generalized for computer vision, machine learning, and broader scientific domains.

Reference Source

  • Type: Uploaded PDF artifact (native PDF)
  • Artifact: ResNet paper - "Deep Residual Learning for Image Recognition"
  • Reference File Type: PDF (conference proceeding style, double-column LaTeX)
  • Primary Language: English (CJK-capable typography strategy defined for mixed-script output)
  • Page count: 12 pages (8 main + 1 references + 3 appendix)

Supported Outputs

FormatDefaultNotes
PDFYesPrimary target for camera-ready submission via LaTeX
DOCXYesFor collaborative drafting and advisor review
PPTXYesFor oral-presentation slide decks derived from paper

When the user does not specify a format, default to PDF for final manuscripts and PPTX for oral-presentation derivatives.

CRITICAL: When generating a full paper, produce all required sections with all figures, tables, equations, and references - never produce a partial or abbreviated paper. The reference artifact is 12 pages; match this scale for full paper reproductions.

Workflow Overview

  1. Plan - Define target venue, page limit, and section budget
  2. Draft - Write ALL sections following the narrative-logic contract
  3. Design - Create ALL figures, tables, and equations per the guidelines
  4. Polish - Apply typography, cross-references, and submission formatting
  5. Convert - Render to requested output format

Core Contracts

Load the relevant reference file when the user request touches that domain:

  • Structure & Narrative: See references/structure_contract.md
    • Section hierarchy, narrative arc, paragraph-level patterns, citation strategies.
  • Visual Style & Typography: See references/style_contract.md
    • Page layout, font system, color usage, mathematical notation, header/footer rules.
  • Figures, Tables & Equations: See references/figure_table_guidelines.md
    • Caption conventions, numbering, chart styling, table formatting, equation layout.

Complete Paper Requirements

When producing a full paper reproduction or draft, the output MUST include:

All Sections (in order)

  1. Title page: Title, Authors, Affiliations, Abstract, Keywords
  2. Section 1: Introduction (1-1.5 pages)
  3. Section 2: Related Work (0.5-1 page)
  4. Section 3: Method/Approach (2-3 pages) with subsections 3.1, 3.2, 3.3, 3.4
  5. Section 4: Experiments/Results (2.5-3.5 pages) with subsections 4.1, 4.2, 4.3
  6. Section 5: Conclusion (0.3-0.5 pages)
  7. References (1 page, numbered [1]-[N])
  8. Appendices A-C (optional, 2-3 pages)

All Visual Elements

  • Figures: ALL referenced figures with proper captions below (Fig. 1-N)
  • Tables: ALL referenced tables with proper captions above (Table 1-N)
  • Equations: ALL numbered equations with sequential numbering (1), (2), ...
  • Footnotes: Numbered superscript footnotes at page bottom

Page Count Rules

  • Full paper: 8-12 pages depending on content
  • Minimum: Each major section must have enough content (Introduction >= 5 paragraphs)
  • Never produce a paper compressed into 1-2 pages

Venue-Specific Adaptation

ParameterCVPR/ICCV/ECCVNeurIPS/ICML/ICLRACL/EMNLP
Page limit8 + refs9 + refs8 + refs
Columns21 (NeurIPS/ICML), 2 (ICLR)2
Abstract1 para, ~150 words1 para, ~200 words1 para, ~150 words
Fig/Table per page1-21-21-2

Quick Checklist (Pre-Submission)

  • Title: Concise, specific, no unnecessary jargon
  • Abstract: Contains background, problem, method, key results, significance
  • Introduction: Domain -> sub-domain -> specific gap -> contribution list -> roadmap
  • Related Work: Organized by theme, not by paper; explicit differentiation
  • Method: Mathematical formulation before implementation; all subsections present
  • Experiments: ALL subsections with datasets, metrics, baselines, results, ablations
  • Figures: All referenced before appearing; captions self-contained; BELOW figure
  • Tables: All referenced; best results in bold; captions ABOVE table
  • Equations: Numbered sequentially; all symbols defined in surrounding text
  • References: Complete numbered bibliography [1]-[N]
  • Page count: Matches target venue (8-12 pages), not compressed
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