Ioana Ciuca

According to our database, Ioana Ciuca authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2025

Supernova Event Dataset: Interpreting Large Language Models' Personality through Critical Event Analysis.

Pranav Agarwal, Ioana Ciuca

CoRR, June, 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, April, 2025

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, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca

CoRR, April, 2025

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, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, Jill P. Naiman, Joshua E. G. Peek, Mugdha Polimera, Sergio J. Rodríguez Méndez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley

CoRR, 2024

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

Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciuca, UniverseTBD

CoRR, 2024

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, Shirley Ho, Marc Huertas-Company, Kartheik Iyer, Maja Jablonska, François Lanusse, Henry Leung, Kaisey Mandel, Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam Holden Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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, Matthew R. Templeton, Shinyi Chen, Jennifer Koch, Taylor Jacovich, Daniel Chivvis, Fernanda de Macedo Alves, Jean-Claude Paquin, Jennifer Bartlett, Mugdha Polimera, Stephanie Jarmak

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, Tomasz Rózanski, Pranav Khetarpal, Sharaf Zaman, David Brodrick, Sergio J. Rodríguez Méndez, Thang D. Bui, Alyssa Goodman, Alberto Accomazzi, Jill P. Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD

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

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

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

Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature.

Ioana Ciuca, Yuan-Sen Ting

CoRR, 2023