AstroLLaVA: towards the unification of astronomical data and natural language.

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models.

Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations.

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

Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy.

XAMI - A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images.

Designing an Evaluation Framework for Large Language Models in Astronomy Research.

Scaling Laws for Galaxy Images.

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets.

AstroLLaMA: Towards Specialized Foundation Models in Astronomy.

Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy.

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning.

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies.

Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning.