Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Aug 21, 2026
Stars +0 in 1 day
Forks +0 in 1 day
Merged PRs 0 in 1 day
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
| Day | Stars gained | Forks gained | Merged PRs |
|---|---|---|---|
| Fri, Aug 21, 2026 | +0 | +0 | 0 |
| Total | +0 | +0 | 0 |
Where the repository ranked on GitHub Trending, one dot for each day it was on a list
Oct 10, 2023Best #25
Trendshift snapshots GitHub's daily Trending list and runs its own trending list
Weixin-Liang/LLM-scientific-feedback has been featured on GitHub Trending, first reaching #13 on Oct 10, 2023
Large model-assisted paper review
A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.
Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows
Scholar All-In-One: A research infrastructure for AI agents
Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.
Elevate your AI research writing, no more tedious polishing ✨
A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.
The open source AI research agent.
Write research paper and literature review drafts with an open-source Python engine that checks citation DOIs against scholarly databases. Export PDF, Word, or LaTeX.
