Yuan-Sen Ting

According to our database, Yuan-Sen Ting authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

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

2023

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers.

Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, M. Walmsley, John F. Wu, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen Ting, G. van de Ven, S. Villar, V. A. Villar, E. Zinger

CoRR, 2023

Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models.

Jiashu Pan, Yuan-Sen Ting, Jie Yu

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 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 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 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

2022

Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer.

Jiashu Pan, Yuan-Sen Ting, Jie Yu

CoRR, 2022

2021

Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope.

Sankalp Gilda, Stark C. Draper, Sebastien Fabbro, William Mahoney, Simon Prunet, Kanoa Withington, Matthew Wilson, Yuan-Sen Ting, Andrew Sheinis

CoRR, 2021