📈 Predict Academic Impact of Newly Published Paper!
Estimate the future academic impact from the title and abstract with LLM.
Full Paper
Please be advised: Local inference of the proposed method is instant, but ZeroGPU requires quantized model reinitialization with each "Predict", causing slight delays. (typically wont take more than 30 secs)
Ethical Warnings and Important Notes
- It is intended as a tool for research and educational purposes only.
- Please refrain from deliberately embellishing the title and abstract to boost scores, and avoid making false claims.
- Our training data only includes samples from the fields including cs.CV, cs.CL (NLP), and cs.AI. Predictions outside these areas are not recommended for reference.
- The predicted value is a probability generated by the model and does NOT reflect paper quality or novelty.
- To identify potentially impactful papers, this study uses the sigmoid+MSE approach to optimize NDCG values (over sigmoid+BCE), resulting in predicted values generally concentrated between 0.1 and 0.9.
- Empirically, it is considered a predicted influence score greater than 0.65 to indicate an impactful paper.
- The author takes NO responsibility for the prediction results.
Examples
| Paper Title | Paper Abstract |
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