KDD 2025 2nd-round Review Results: How Did Your Paper Do?

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Hey fellow KDD authors and ML researchers!

As we approach the release of the second-round review results for KDD 2025, it's time to gather, share experiences, and support each other: whether you're nervously checking for updates, celebrating a win, or figuring out your next steps.

🧩 What to Discuss Here:

• What scores did you get after Round 1 & rebuttal?
• Did your rebuttal help push your paper toward acceptance?
• Were you assigned to Research or ADS track?
• Are you seeing trends in novelty / technical quality (TQ) scores?
• What are your thoughts on this year's review quality?

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️ Be cautious with rebuttals

Some authors reported issues with anonymous external code links (e.g., GitHub repos). Even if anonymized, external links in the rebuttal can trigger desk rejection depending on PC interpretation. If you’re unsure, it’s safest to:

• Clearly reference what's already in the submission
• Avoid linking out to anything not explicitly allowed
• Clarify any confusion in the rebuttal without adding new external content

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Community Polls & Stats

Some have started collecting anonymized data points on scores and acceptance results; it's great to get a sense of where you stand. If you’ve got numbers (e.g., Novelty: 4 3 3 2, TQ: 3 2 3 2), feel free to drop them in the thread and compare notes!

Let’s try to keep this thread constructive and supportive. Every score is a story, and every rejection can be a redirection.

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Looking Ahead

Whether you’re aiming to get into camera-ready or preparing a resubmission, this is the perfect moment to share, learn, and connect with others in the same boat.

Feel free to comment below with your situation, ask questions, or just vent — we’re here for it!

Stay strong, and good luck to everyone

— A fellow author + reviewer