Update README.md

README.md

@@ -20,7 +20,7 @@ Our ongoing projects include:
 
 ## Models and Performance
 
-We have developed several models, including AstroSage-LLaMA-3.1-8B, AstroLLaMA-2-70B, and AstroLLaMA-3-8B. Our AstroSage-LLaMA-3.1-8B model has demonstrated strong performance in astronomy Q&A tasks ([Ting et al. 2024](https://arxiv.org/abs/2407.11194), Pan et al. 2024):
+We have developed several models, including AstroSage-LLaMA-3.1-8B ([de Haan et al. 2024](https://arxiv.org/abs/2411.09012)), AstroLLaMA-2-70B ([Pan et al. 2024](https://arxiv.org/abs/2409.19750)), and AstroLLaMA-3-8B ([Pan et al. 2024](https://arxiv.org/abs/2409.19750)). Our AstroSage-LLaMA-3.1-8B model has demonstrated strong performance in astronomy Q&A tasks ([Ting et al. 2024](https://arxiv.org/abs/2407.11194)):
 
 | Model | Score (%) |
 |-------|-----------|
@@ -36,7 +36,7 @@ We have developed several models, including AstroSage-LLaMA-3.1-8B, AstroLLaMA-2
 | ChatGLM3-6B | 50.4 |
 | AstroLLaMA-2-7B (UniverseTBD) | 44.3 |
 
-AstroSage-LLaMA-3.1-8B, our lightweight model, currently achieves the highest score among the ~8B parameter models in its astronomy knowledge recall ability.
+AstroSage-LLaMA-3.1-8B ([de Haan et al. 2024](https://arxiv.org/abs/2411.09012)), our lightweight model, currently achieves the highest score among the ~8B parameter models in its astronomy knowledge recall ability.
 
 ![Cost and performance trade-off in astronomical Q&A](https://cdn-uploads.huggingface.co/production/uploads/643f1ddce2ea47d170103537/ip0Bk-LZRrCArimets4H7.png)