Search Results for author:
Found 3 papers, 1 papers with code
AstroLLaVA: towards the unification of astronomical data and natural language
We present AstroLLaVA, a vision language model for astronomy that enables interaction with astronomical imagery through natural dialogue.
Probing the limitations of multimodal language models for chemistry and materials research
Recent advancements in artificial intelligence have sparked interest in scientific assistants that could support researchers across the full spectrum of scientific workflows, from literature review to experimental design and data analysis.
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
