Ioana Ciuca - RankMe

14 papers A* 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models. CoRR 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
2025	J	`jnl`	From Queries to Criteria: Understanding How Astronomers Evaluate LLMs. CoRR Alina Hyk, Kiera McCormick, Mian Zhong, Ioana Ciuca, Sanjib Sharma, John F. Wu, Joshua E. G. Peek, Kartheik Iyer, Ziang Xiao, Anjalie Field
2025	J	`jnl`	ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers? CoRR Christine Ye, Sihan Yuan, Suchetha Cooray, Steven Dillmann, Ian L. V. Roque, Dalya Baron, Philipp Frank, Sergio Martin-Alvarez, Nolan Koblischke, Frank J. Qu, Diyi Yang, Risa Wechsler, Ioana Ciuca
2025	J	`jnl`	Sparks of Science: Hypothesis Generation Using Structured Paper Data. CoRR Charles O'Neill, Tirthankar Ghosal, Roberta Raileanu, Mike Walmsley, Thang D. Bui, Kevin Schawinski, Ioana Ciuca
2025	J	`jnl`	Supernova Event Dataset: Interpreting Large Language Models' Personality through Critical Event Analysis. CoRR Pranav Agarwal, Ioana Ciuca
2024	J	`jnl`	AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. CoRR 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
2024	A*	`conf`	The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. NeurIPS 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
2024	J	`jnl`	pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR 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
2023	J	`jnl`	Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content. CoRR Charles O'Neill, Jack W. Miller, Ioana Ciuca, Yuan-Sen Ting, Thang D. Bui
2023	J	`jnl`	AstroLLaMA: Towards Specialized Foundation Models in Astronomy. CoRR 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
2023	J	`jnl`	Experimenting with Large Language Models and vector embeddings in NASA SciX. CoRR 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
2023	J	`jnl`	Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature. CoRR Ioana Ciuca, Yuan-Sen Ting
2023	J	`jnl`	Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy. CoRR Ioana Ciuca, Yuan-Sen Ting, Sandor Kruk, Kartheik Iyer
2023	J	`jnl`	Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation. CoRR Charles O'Neill, Yuan-Sen Ting, Ioana Ciuca, Jack W. Miller, Thang D. Bui