| # AstroMLab | |
| AstroMLab is a diverse group of researchers dedicated to advancing the application of Large Language Models (LLMs) in astronomy. Our team includes: | |
| - Leading astronomers, astrophysicists, and cosmologists. | |
| - Natural language processing experts. | |
| - Frontier arXivists from the NASA Astrophysics Data System | |
| ## Objectives | |
| - Develop specialized LLMs for astronomy | |
| - Create open-source models for advanced research | |
| - Facilitate LLM-driven end-to-end agentic research in astronomy | |
| ## Current Work | |
| Our ongoing projects include: | |
| - Curation of an astronomy-based benchmarking dataset | |
| - Development of specialized astronomy LLMs | |
| - Performance evaluation of models on astronomical tasks | |
| ## Models and Performance | |
| We have developed several models, including AstroSage-8B, AstroLLaMA-2-70B, and AstroLLaMA-3-8B. Our AstroSage-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): | |
| | Model | Score (%) | | |
| |-------|-----------| | |
| | **AstroSage-8B (AstroMLab)** | **80.9** | | |
| | **AstroLLaMA-2-70B-Base (AstroMLab)** | **76.0** | | |
| | LLaMA-3.1-8B | 73.7 | | |
| | Phi-3.5-4B | 72.8 | | |
| | Gemma-2-9B | 71.5 | | |
| | LLaMA-2-70B | 70.7 | | |
| | Qwen-2.5-7B | 70.4 | | |
| | Yi-1.5-9B | 68.4 | | |
| | InternLM-2.5-7B | 64.5 | | |
| | Mistral-7B-v0.3 | 63.9 | | |
| | ChatGLM3-6B | 50.4 | | |
| | AstroLLaMA-2-7B (UniverseTBD) | 44.3 | | |
| AstroSage-8B, our lightweight model, currently achieves the highest score among the ~7B parameter models in its astronomy knowledge recall ability. | |
|  | |
| ## Support and Resources | |
| Our research benefits from: | |
| - Access to the Frontier nodes at Oak Ridge Leadership Computing Facility | |
| - Support from Microsoft's Accelerating Foundation Models Research (AFMR) program | |
| ## Contact | |
| For inquiries or collaboration opportunities, please contact: [email protected] |