Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature. - Ioana Ciuca; Yuan-Sen Ting (CoRR, 2023)

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)

Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation. - Charles O'Neill; Yuan-Sen Ting; Ioana Ciuca; Jack W. Miller; Thang D. Bui (CoRR, 2023)

Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content. - Charles O'Neill; Jack W. Miller; Ioana Ciuca; Yuan-Sen Ting; Thang D. Bui (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)

Experimenting with Large Language Models and vector embeddings in NASA SciX. - Sergi Blanco-Cuaresma; Ioana Ciuca; Alberto Accomazzi; Michael J. Kurtz; Edwin A. Henneken; Kelly E. Lockhart; Félix Grèzes; Thomas Allen; Golnaz Shapurian; Carolyn S. Grant; Donna M. Thompson; Timothy W. Hostetler; et al. (CoRR, 2023)

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. - Eirini Angeloudi; Jeroen Audenaert; Micah Bowles; Benjamin M. Boyd; David Chemaly; Brian Cherinka; Ioana Ciuca; Miles D. Cranmer; Aaron Do; Matthew Grayling; Erin E. Hayes; Tom Hehir; et al. (NeurIPS, 2024)

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)

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)

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)

Sparks of Science: Hypothesis Generation Using Structured Paper Data. - Charles O'Neill; Tirthankar Ghosal; Roberta Raileanu; Mike Walmsley; Thang D. Bui; Kevin Schawinski; Ioana Ciuca (CoRR, 2025)

Supernova Event Dataset: Interpreting Large Language Models' Personality through Critical Event Analysis. - Pranav Agarwal; Ioana Ciuca (CoRR, 2025)

From Queries to Criteria: Understanding How Astronomers Evaluate LLMs. - Alina Hyk; Kiera McCormick; Mian Zhong; Ioana Ciuca; Sanjib Sharma; John F. Wu; Joshua E. G. Peek; Kartheik Iyer; Ziang Xiao; Anjalie Field (CoRR, 2025)