5 papers
Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events
Venkatesh Kolluru, Rajat Shinde, Abdelhak Marouane +6
Floods are among the most destructive natural hazards, and their increasing frequency under climate change makes satellite-based inundation mapping essential for disaster response.…
Toward Open Earth Science as Fast and Accessible as Natural Language
Marquita Ellis, Iksha Gurung, Muthukumaran Ramasubramanian +1
Is natural-language-driven earth observation data analysis now feasible with the assistance of Large Language Models (LLMs)? For open science in service of public interest, feasibi…
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
Sujit Roy, Dinesha V. Hegde, Johannes Schmude +22
This paper introduces a high resolution, machine learning-ready heliophysics dataset derived from NASA's Solar Dynamics Observatory (SDO), specifically designed to advance machine…
Challenges in Guardrailing Large Language Models for Science
Nishan Pantha, Muthukumaran Ramasubramanian, Iksha Gurung +2
The rapid development in large language models (LLMs) has transformed the landscape of natural language processing and understanding (NLP/NLU), offering significant benefits across…
INDUS: Effective and Efficient Language Models for Scientific Applications
Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka +33
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs tr…