most citedA Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models

2 citations · 3 across the 2 of their papers we have counts for

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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…

astro-ph.IM2024

pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy

Kartheik G. Iyer, Mikaeel Yunus, Charles O'Neill +27

The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge. We pr…