aiming-lab

aiming-lab / AutoRebuttalClaw

Public

Paste. Generate. Accept. — AI-powered rebuttal generation for top ML/AI conferences. Paste your OpenReview link, get a venue-compliant rebuttal in minutes.

21
0
100% credibility
Found Mar 25, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

AutoRebuttalClaw helps researchers generate AI-powered, venue-compliant rebuttals from OpenReview links or uploaded papers and reviews.

How It Works

1
🔍 Find your helper

You hear about AutoRebuttalClaw from a colleague or conference forum and visit the friendly web page.

2
📎 Paste your review link

Drop in your OpenReview paper URL to instantly pull your paper, reviews, and scores—no manual copying needed.

3
🧠 AI reads everything

Watch as the smart assistant profiles reviewers, spots key issues, and plans perfect responses just for your conference.

4
🏷️ Pick your conference

Choose from 14 top venues like NeurIPS or ICML—it auto-fits the exact rules and limits.

5
✨ Generate rebuttal

Hit go and see your evidence-packed responses stream in live, with quality checks along the way.

6
✏️ Tweak and polish

Review charts, fix any gaps, chat for refinements, and ensure it sounds just right.

✅ Ready to submit

Export your winning rebuttal, post to OpenReview, and boost your acceptance odds with confidence.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 21 to 21 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is AutoRebuttalClaw?

AutoRebuttalClaw lets ML researchers paste an OpenReview link and generate venue-compliant rebuttals in minutes for 14 top conferences like NeurIPS, ICML, and ICLR. Built in Python with a Next.js frontend, it handles paper parsing, review analysis, and outputs tailored responses via web UI, CLI (`autorebuttal generate`), or Docker Compose. Paste, generate, accept—evidence-grounded replies with real-time streaming and multi-LLM support (OpenAI, Anthropic, Gemini, Ollama).

Why is it gaining traction?

It crushes generic tools by enforcing exact char limits, detecting AI reviews, profiling reviewer stances (champions vs skeptics), and guarding against sophistry—features absent in Gradio-based alternatives. The production split-pane editor with charts, Cmd+K palette, and OpenClaw integration hooks devs tired of manual copy-paste drudgery. Batch mode processes multiple papers, blending paste-generate workflows for high-stakes deadlines.

Who should use this?

ML PhD students and profs rushing NeurIPS/ICML rebuttals under 48-hour windows. Co-author teams coordinating via Kanban boards. Anyone evaluating acceptance odds post-submission or planning experiments from concerns—perfect for paste-your-link, generate-report flows without setup hassles.

Verdict

Grab it for conference crunch time—MIT-licensed, 657+ tests passed, multilingual docs. At 21 stars and 1.0% credibility, it's early alpha: solid pipeline but expect rough edges in edge cases. Docker quickstart shines; scale to production cautiously. Worth starring for aiming-lab's ambition. (198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.