MLNLP-World/Paper-Writing-Tips

What it solves

This project addresses the common, recurring mistakes that beginners make when writing and submitting academic papers to top-tier conferences. It provides a centralized repository of best practices and technical tips to help researchers quickly identify and fix errors in their LaTeX manuscripts, formulas, and formatting.

How it works

The project offers two main resources: a comprehensive guide covering writing conventions, LaTeX formatting, and figure design, and a reusable AI skill for Claude Code. By installing the provided paper-writing skill, users can automate the checking of their LaTeX files for issues related to math notation, bibliography consistency, and document structure.

Who it’s for

It is designed for students and early-career researchers in fields like NLP and AI who are preparing papers for international academic conferences and want to ensure their submissions meet professional standards.

Highlights

• Comprehensive Checklists: Step-by-step guides for pre-writing preparation and final submission reviews.
• Automated Linting: Includes a custom AI skill that integrates with Claude Code to scan LaTeX files for common errors.
• Visual Examples: Provides annotated images and LaTeX code snippets to demonstrate correct versus incorrect formatting.
• Curated Resources: A collection of external links to academic writing advice from established researchers and institutions.
• Community Driven: An ongoing project that welcomes contributions and issue reports to improve its guidance.