Update README.md

README.md

@@ -33,7 +33,7 @@ AstroLLaMA-3-8B is a specialized base language model for astronomy, developed by
   - Cosine decay schedule for learning rate reduction
   - Training duration: 1 epoch
 - **Primary Use**: Next token prediction for astronomy-related text generation and analysis
-- **Reference**: Pan et al. 2024 [Link to be added]
+- **Reference**: [Pan et al. 2024](https://arxiv.org/abs/2409.19750)
 
 ## Generating text from a prompt
 
@@ -73,10 +73,11 @@ print(generated_text[0]['generated_text'])
 
 A key limitation identified during the development of this model is that training solely on astro-ph data may not be sufficient to significantly improve performance over the base model, especially for the already highly performant LLaMA-3 series. This suggests that to achieve substantial gains, future iterations may need to incorporate a broader range of high-quality astronomical data beyond arXiv, such as textbooks, Wikipedia, and curated summaries.
 
-Here's a performance comparison chart based upon the astronomical benchmarking Q&A as described in [Ting et al. 2024](https://arxiv.org/abs/2407.11194), and Pan et al. 2024:
+Here's a performance comparison chart based upon the astronomical benchmarking Q&A as described in [Ting et al. 2024](https://arxiv.org/abs/2407.11194):
 
 | Model | Score (%) |
 |-------|-----------|
+| **AstroSage-LLaMA-3.1-8B (AstroMLab)** | **80.9** |
 | LLaMA-3.1-8B | 73.7 |
 | LLaMA-3-8B | 72.9 |
 | **<span style="color:green">AstroLLaMA-3-8B-Base_AIC (AstroMLab)</span>** | **<span style="color:green">71.9</span>** |