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  • 1 Votes
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    riverR
    I made a summary of data points from KDD 2025 1st round results: Novelty Scores Technical Quality Scores Confidence Scores Rebuttal Outcome Final Decision Notes 3 3 3 3 3 3 4 3 3 2 3 2 – Addressed issues Accepted "Rebuttal 一波三折太难了" 2 2 3 2 2 3 3 2 2 3 3 3 3 3 3 Submitted Rejected "是不是可以直接跑路了" 4 3 3 1 4 4 2 2 – Explained issues Rejected "Large variance across reviewers; no score changes post-rebuttal" 3 3 3 3 3 2 – Unsure 🟡 Unknown "Still considering rebuttal; not sure if it's worth the effort" 3 3 3 3 3 3 3 3 3 3 3 2 – Minor clarifications Accepted "Final scores unchanged but accepted after positive AC decision" 3 4 3 3 3 3 2 2 3 2 2 3 – Clarified results Rejected "Novelty OK, but TQ too weak; didn't convince reviewers" 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Submitted Accepted "Strong consensus; one of the smoother cases" 3 3 3 3 3 2 – No rebuttal Rejected "No rebuttal submitted; borderline scores" 3 3 2 2 3 3 2 2 – Rebuttal sent Rejected "Reviewers did not change their opinion" 3 3 3 3 3 3 3 3 3 3 2 2 – Rebuttal helped Accepted "Accepted despite one weaker reviewer" 3 3 3 3 3 3 3 3 3 3 3 3 Rebuttal sent 🟡 Unknown "In limbo; waiting for final decision" 3 3 3 3 2 2 2 2 – Not convincing Rejected "Work deemed not ‘KDD-level’ despite rebuttal" 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Submitted Accepted "Perfectly consistent reviewers; smooth acceptance" 3 3 3 2 3 3 2 2 – Rebuttal failed Rejected "Low technical quality and variance led to rejection" Note: Data sourced from community discussions on Zhihu, Reddit, and OpenReview threads. Subject to sample bias.
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