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Update app.py

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  1. app.py +3 -3
app.py CHANGED
@@ -80,7 +80,7 @@ with gr.Blocks() as iface:
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  # 📈 Predict Academic Impact of Newly Published Paper!
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  ### Estimate the future academic impact from the title and abstract with LLM.
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  ###### [Full Paper](https://arxiv.org/abs/2408.03934)
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- ###### Kindly note that ZeroGPU does not support preloading quantized models for now. Each time you click "Predict," the model will be reinitialized, which could take around 20 seconds.
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  """)
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  with gr.Row():
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  with gr.Column():
@@ -101,8 +101,8 @@ with gr.Blocks() as iface:
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  gr.Markdown("""
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  ## Ethical Warnings and Important Notes
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  - It is intended as a tool **for research and educational purposes only**.
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- - Please refrain from deliberately embellishing the title and abstract to boost scores, and avoid making false claims.
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- - 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.
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  - The **predicted value** is a probability generated by the model and **does NOT reflect paper quality or novelty**.
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  - 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**.
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  - Empirically, it is considered a predicted influence score greater than **0.65** to indicate an impactful paper.
 
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  # 📈 Predict Academic Impact of Newly Published Paper!
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  ### Estimate the future academic impact from the title and abstract with LLM.
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  ###### [Full Paper](https://arxiv.org/abs/2408.03934)
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+ ###### 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)
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  """)
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  with gr.Row():
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  with gr.Column():
 
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  gr.Markdown("""
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  ## Ethical Warnings and Important Notes
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  - It is intended as a tool **for research and educational purposes only**.
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+ - Please refrain from deliberately embellishing the title and abstract to boost scores, and **avoid making false claims**.
105
+ - 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.
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  - The **predicted value** is a probability generated by the model and **does NOT reflect paper quality or novelty**.
107
  - 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**.
108
  - Empirically, it is considered a predicted influence score greater than **0.65** to indicate an impactful paper.