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Good research deserves attention. Every week, we evaluate thousands of new preprints and surface the ones with the most signal. Read this week's recap or see statistics.
Scores are calibrated so that around 70 marks a strong venue's acceptance bar. How scores work
| # | Paper | Score | |
|---|---|---|---|
| 1 | Ameya Joshi et al.Computer Vision | 82.2 | |
| 2 | 80.2 | ||
| 3 | Khanh D. Nguyen et al.Robotics | 79.8 | |
| 4 | Jikun Wang et al.Computer Architecture | 78.9 | |
| 5 | 78.3 | ||
| 6 | Michael J. Bommarito IIOperating Systems | 77.4 | |
| 7 | Ramiro N. Deo-Campo VuongOptimization | 77.1 | |
| 8 | Priyansh Bhatnagar et al.Machine Learning | 76.8 | |
| 9 | Mohamed Khalil Kiri et al.Machine Learning | 76.5 | |
| 10 | Artem Matveev et al.Information Retrieval | 76.1 |