Papers Leaderboard: https://huggingface.co/spaces/Heartsync/Papers-Leaderboard
Papers Impact: AI-Powered Research Impact Predictor
Predict the potential research impact (0β1) from title & abstract.
Import from arXiv
Enter an arXiv ID or URL. For example:
2504.11651
or https://arxiv.org/pdf/2504.11651
Or Enter Manually
Scientific Methodology
- Training Data: Model trained on an extensive dataset of published papers in CS.CV, CS.CL, CS.AI
- Optimization: NDCG optimization with Sigmoid activation and MSE loss
- Validation: Cross-validated against historical citation data
- Architecture: Advanced transformer-based (LLaMA derivative) textual encoder
- Metrics: Quantitative analysis of citation patterns and research influence
Rating Scale
Grade | Score Range | Description | Emoji |
---|---|---|---|
AAA | 0.900β1.000 | Exceptional | π |
AA | 0.800β0.899 | Very High | β |
A | 0.650β0.799 | High | β¨ |
BBB | 0.600β0.649 | Above Average | π΅ |
BB | 0.550β0.599 | Moderate | π |
B | 0.500β0.549 | Average | π |
CCC | 0.400β0.499 | Below Average | π |
CC | 0.300β0.399 | Low | βοΈ |
C | <0.300 | Limited | π |