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

[Kevin Cris]

https://www.zhihu.com/question/12035973262/answers/updated
some data points from Chinese researcher community

[Hu8kKo34]

Anyone knows the likelihood of an NLP (LLM agent and its evaluation on many public datasets) work accepted to KDD, either main or applied data science track?

[Nilesh Verma]

what are the chances of acceptance in KDD feb, here is my score

Relevance: 3.5 (based on 4, 3, 4, 3, 4)
Novelty: 3.0 (based on 4, 3, 2, 3, 2)
Technical Quality: 3.0 (based on 3, 3, 3, 3, 3)
Presentation: 2.8 (based on 3, 3, 3, 2, 3)
Reproducibility: 3.0 (based on 3, 3, 3, 3, 3)
Reviewer Confidence: 3.4 (based on 3, 4, 3, 4, 3)

[Sylvia]

@Nilesh-Verma from what I hear, Novelty and TQ (combined with confidence) are two most important dimension for making the final decision. I think TQ scores are pretty good; Novelty scores are not bad either. If rebuttal can increase one of the "2"s to 3, then the chance of getting an acceptance will be even higher.

[root]

I hereby paste the historical acceptance rate of KDD research tracks

Conference	Long Paper Acceptance Rate
KDD'14	14.6% (151/1036)
KDD'15	19.5% (160/819)
KDD'16	13.7% (142/1115)
KDD'17	17.4% (130/748)
KDD'18	18.4% (181/983) (107 orals and 74 posters)
KDD'19	14.2% (170/1200) (110 orals and 60 posters)
KDD'20	16.9% (216/1279)
KDD'22	15.0% (254/1695)
KDD'23	22.1% (313/1416)
KDD'24	20.0% (411/2046)

Note that KDD'24 accepted 151 ADS track papers from 738 submissions!

[Sylvia]

The KDD PC just opened the comment phase until Apr 18 (AoE). You can respond to reviewer follow-ups or raise concerns to AC/SAC via the Official Comment button.

️ A few don’ts:

• No URLs — they’ll auto-delete your comment.
• No bypassing rebuttal limits — don’t treat comments as extra rebuttal space.
• Don’t badger reviewers — 1 ping is enough.
• Stay respectful — tone matters.

Good luck everyone

[Hsi Ping Li]

@river Hi river,

Excuse me, do you know if these scores are the final scores after the rebuttal? Really appreciate it if you could provide more information about this

[Hsi Ping Li]

@Nilesh-Verma Hi Nilesh, I am sure the scores of your paper are higher than those of most authors. Congs. Besides, did your reviewers increase their ratings for your paper in the rebuttal process?

[river]

@Hsi-Ping-Li

This the best effort scores, meaning I take the latest available scores reported in the community. If they are updated by the authors after rebuttal, then I take that, otherwise I would assume the scores did not change.

For the data points with accept/reject outcome, I think all of them are post-rebuttal scores.

[Hsi Ping Li]

@magicparrots

Hi magicparrots!

did the reviewers raise their scores for your paper after the rebuttal process?
I also submitted a paper about GNN, and only one reviewer out of five raised 1 score for my paper

[Hsi Ping Li]

@river Many thanks for your details!