Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning. - Mike Walmsley; Lewis Smith; Chris J. Lintott; Yarin Gal; Steven Bamford; Hugh Dickinson; Lucy Fortson; Sandor Kruk; Karen Masters; Claudia Scarlata; Brooke Simmons; Rebecca J. Smethurst; et al. (CoRR, 2019)

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies. - Mike Walmsley; Chris J. Lintott; Tobias Géron; Sandor Kruk; Coleman Krawczyk; Kyle W. Willett; Steven Bamford; William Keel; Lee S. Kelvin; Lucy Fortson; Karen L. Masters; Vihang Mehta; et al. (CoRR, 2021)

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning. - Mike Walmsley; Anna M. M. Scaife; Chris J. Lintott; Michelle Lochner; Verlon Etsebeth; Tobias Géron; Hugh Dickinson; Lucy Fortson; Sandor Kruk; Karen L. Masters; Kameswara Bharadwaj Mantha; Brooke D. Simmons (CoRR, 2021)

Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy. - Ioana Ciuca; Yuan-Sen Ting; Sandor Kruk; Kartheik Iyer (CoRR, 2023)

AstroLLaMA: Towards Specialized Foundation Models in Astronomy. - Tuan Dung Nguyen; Yuan-Sen Ting; Ioana Ciuca; Charlie O'Neill; Zechang Sun; Maja Jablonska; Sandor Kruk; Ernest Perkowski; Jack W. Miller; Jason Li; Josh Peek; Kartheik Iyer; et al. (CoRR, 2023)

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. - Ernest Perkowski; Rui Pan 002; Tuan Dung Nguyen; Yuan-Sen Ting; Sandor Kruk; Tong Zhang 001; Charlie O'Neill; Maja Jablonska; Zechang Sun; Michael J. Smith 013; Huiling Liu; Kevin Schawinski; et al. (CoRR, 2024)

Scaling Laws for Galaxy Images. - Mike Walmsley; Micah Bowles; Anna M. M. Scaife; Jason Shingirai Makechemu; Alexander J. Gordon; Annette M. N. Ferguson; Robert G. Mann; James Pearson; Jürgen J. Popp; Jo Bovy; Joshua S. Speagle; Hugh Dickinson; et al. (CoRR, 2024)

Designing an Evaluation Framework for Large Language Models in Astronomy Research. - John F. Wu; Alina Hyk; Kiera McCormick; Christine Ye; Simone Astarita; Elina Baral; Jo Ciuca; Jesse Cranney; Anjalie Field; Kartheik Iyer; Philipp Koehn; Jenn Kotler; et al. (CoRR, 2024)

XAMI - A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images. - Elisabeta-Iulia Dima; Pablo Gómez; Sandor Kruk; Peter Kretschmar; Simon Rosen; Calin-Adrian Popa (CoRR, 2024)

Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy. - Simone Astarita; Sandor Kruk; Jan Reerink; Pablo Gómez (CoRR, 2024)

pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. - Kartheik Iyer; Mikaeel Yunus; Charles O'Neill; Christine Ye; Alina Hyk; Kiera McCormick; Ioana Ciuca; John F. Wu; Alberto Accomazzi; Simone Astarita; Rishabh Chakrabarty; Jesse Cranney; et al. (CoRR, 2024)

Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations. - Pablo Gómez; Roland D. Vavrek; Guillermo Buenadicha; John Hoar; Sandor Kruk; Jan Reerink (CoRR, 2024)

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models. - Atilla Kaan Alkan; Shashwat Sourav; Maja Jablonska; Simone Astarita; Rishabh Chakrabarty; Nikhil Garuda; Pranav Khetarpal; Maciej Pióro; Dimitrios Tanoglidis; Kartheik Iyer; Mugdha Polimera; Michael J. Smith 013; et al. (CoRR, 2025)

AstroLLaVA: towards the unification of astronomical data and natural language. - Sharaf Zaman; Michael J. Smith 013; Pranav Khetarpal; Rishabh Chakrabarty; Michele Ginolfi; Marc Huertas-Company; Maja Jablonska; Sandor Kruk; Matthieu Le Lain; Sergio J. Rodríguez Méndez; Dimitrios Tanoglidis (CoRR, 2025)