MLNLP-World/Paper-Writing-Tips

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

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MLNLP-World/Paper-Writing-Tips has 4.5k+ stars and 500+ forks on GitHub and was last pushed on Sep 26, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 5 minutes ago
Type:Curated List / Learning ResourceCategory(s):Education & Research ToolsScience & Industry
Added to GitGenius on September 26th, 2026
Created on April 13th, 2022
Open Issues & Pull Requests: 5 (+0)
GitHub issues: Enabled
Number of forks: 542
Total Stargazers: 4,680 (+0)
Total Subscribers: 43 (+0)

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Mean response time: 0.0 hours
90th percentile: 0.0 hours
Tracked items: 1

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Open issues: 2
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Avg open age: 433 days
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Detailed Description

Paper Writing Tips is a community resource guide that helps researchers avoid common submission errors when writing academic papers.

The project addresses the problem of recurring mistakes that appear in paper submissions, particularly from researchers new to academic publishing. It organizes guidance into three main sections: a pre-writing checklist highlighting frequent errors with examples, a final-draft verification guide for quick self-checking, and a curated collection of publicly available writing resources. The approach is practical and example-driven, allowing writers to quickly scan for issues before starting or before submitting.

This resource suits researchers preparing manuscripts for top-tier conference venues who want to catch preventable errors early. The guide focuses on technical writing conventions rather than content quality, acknowledging that polished papers require iterative refinement beyond avoiding mistakes. The project explicitly notes that its tips are reference material only and should be adapted to actual submission requirements, since different venues may have varying standards.

The project is actively building and welcomes contributions through pull requests and issue discussions. The maintainers have marked certain recommendations as having notable disagreement in the community, flagging these with an "Attention" label to signal where writers should exercise judgment rather than follow prescriptive rules.