1 citations · 1 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2025★ 1 cited
AstroLLaVA: towards the unification of astronomical data and natural language
Sharaf Zaman, Michael J. Smith, Pranav Khetarpal +8
We present AstroLLaVA, a vision language model for astronomy that enables interaction with astronomical imagery through natural dialogue. By fine-tuning the LLaVA model on a divers…
physics.geo-ph2024
Towards more efficient agricultural practices via transformer-based crop type classification
E. Ulises Moya-Sánchez, Yazid S. Mikail, Daisy Nyang'anyi +2
Machine learning has great potential to increase crop production and resilience to climate change. Accurate maps of where crops are grown are a key input to a number of downstream…