ACMMM2025 Review Scores Collection
The ACM Multimedia (ACMMM) has not yet opened its reviewer data. However, there's a noticeable interest in the community in viewing how scores are distributed. In light of this, we are exploring the possibility of anonymously gathering ratings and confidence levels to create a visualization of scores that meets this interest.

We acknowledge that this method **might lead to bias**. The number of filled data will be updated on the Paper Copilot site without modification and no personal data will be collected.

Please fill in the ratings in the same order split by commas ',' or semicolons ';', or just space ' ' e.g.:
Ratings: 5,5,3,1
Confidence: 2,2,3,4

Notice
  1. 1: Trivial or Wrong; 2: Strong Rejection, 3: Clear Rejection; 4: Rejection; 5: Marginally below acceptance; 6: Marginally above acceptance threshold; 7: Accept; 8: Clear Accept; 9: Strong Accept; 10: Seminal paper;
  2. You can update your submission anytime when you re-visit this link, we'll consider only the latest submitted data for every paper ID (paper ID is only used for the accuracy of the review curve, false paper ID will introduce noise to the collected data). 
  3. This Google form will be removed if there's no response or if the reviews are publicly available. We'll also update this on Twitter during the discussion, follow me if needed.
Sign in to Google to save your progress. Learn more
Paper/Submission ID *
Your Paper/Submission ID or your Openreview Forum ID (e.g.: https://openreview.net/forum?id=this_is_your_forum_id). This information will remain anonymous and solely used to identify the most recent score when multiple submissions are made for the same paper and to determine the decision bar chart when the final review has not been fully released. Hash it if you prefer more anonymity
Open to Community
*
Your Paper ID will remain anonymous at all times. By selecting 'Yes', your submitted scores will be revealed in the following score table. Otherwise, it will only impact the charts.
Primary Area
*
https://acmmm2025.org/topics-of-interest/
Initial Ratings
*
Initial Confidence
*
[Optional] Ratings after Rebuttal
[Optional] Confidence after Rebuttal
[Optional] Final Decision
Clear selection
[Optional] Your Affiliation
[Optional] Feedback
We welcome feedback, suggestions, sponsorship, and partnership to expand this website.
Submit
Clear form
Never submit passwords through Google Forms.
This content is neither created nor endorsed by Google.