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# System prepended metadata

title: SecReview Rebuttal - WWW

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# SecReview Rebuttal - WWW 
Due: Dec 22

## Weaknesses
1. ML models do not seem to be able to capture novelty. (R1)
2. Novelty is limited,  (R1, R2)
3. Images, tables, and equations are removed (R1)
4. No ablation studies. (R1)
5. Did you actually compute the false negative and false positive rates? (R1)
6. Use OpenReview dataset (R1)
7. It could be interesting to see if conferences that do not implement double blind reviews are significantly less predictable by the ML tool than conferences that do (hinting network bias has a significant impact). (R1)
8. Data/Code open source? (R2)
9. Dataset problem: bias, quality, collection(R1, R2, R3)
10. poor fit for the venue (R1, R3)