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)

Dataset used in "Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope" (https://arxiv.org/abs/2107.00048). - Sankalp Gilda; Stark C. Draper; Sebastien Fabbro; William Mahoney; Simon Prunet; Kanoa Withington; Matthew Wilson; Yuan-Sen Ting; Andrew Sheinis (Zenodo, 2021)

Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer. - Jiashu Pan; Yuan-Sen Ting; Jie Yu (CoRR, 2022)

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)

Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models. - Jiashu Pan; Yuan-Sen Ting; Jie Yu (CoRR, 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; Mike Walmsley; John F. Wu; Camille Avestruz; T. Buck; M. Brescia; D. P. Finkbeiner; et al. (CoRR, 2023)

AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. - Rui Pan 002; Tuan Dung Nguyen; Hardik Arora; Alberto Accomazzi; Tirthankar Ghosal; Yuan-Sen Ting (SC Workshops, 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)

The Scaling Law in Stellar Light Curves. - Jiashu Pan; Yuan-Sen Ting; Yang Huang; Jie Yu; Ji-Feng Liu (CoRR, 2024)

Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery. - Zechang Sun; Yuan-Sen Ting; Yaobo Liang; Nan Duan; Song Huang; Zheng Cai (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)

CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation. - Qiufan Lin; Hengxin Ruan; Dominique Fouchez; Shupei Chen; Rui Li; Paulo Montero-Camacho; Nicola R. Napolitano; Yuan-Sen Ting; Wei Zhang (CoRR, 2024)

AstroMLab 1: Who wins astronomy jeopardy!? - Yuan-Sen Ting; Tuan Dung Nguyen; Tirthankar Ghosal; Rui Pan 002; Hardik Arora; Zechang Sun; Tijmen de Haan; Nesar Ramachandra; Azton Wells; Sandeep Madireddy; Alberto Accomazzi (Astron. Comput., 2025)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - Franck Cappello; Sandeep Madireddy; Robert Underwood; Neil Getty; Nicholas Lee-Ping Chia; Nesar Ramachandra; Josh Nguyen; Murat Keçeli; Tanwi Mallick; Zilinghan Li; Marieme Ngom; Chenhui Zhang; et al. (CoRR, 2025)

Scaling Laws for Emulation of Stellar Spectra. - Tomasz Rózanski; Yuan-Sen Ting (CoRR, 2025)

AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model. - Tijmen de Haan; Yuan-Sen Ting; Tirthankar Ghosal; Tuan Dung Nguyen; Alberto Accomazzi; Emily Herron; Vanessa Lama; Rui Pan 002; Azton Wells; Nesar Ramachandra (CoRR, 2025)

Statistical Machine Learning for Astronomy - A Textbook. - Yuan-Sen Ting (CoRR, 2025)

Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation. - Chenrui Ma; Zechang Sun; Tao Jing; Zheng Cai; Yuan-Sen Ting; Song Huang; Mingyu Li (CoRR, 2025)

SpecCLIP: Aligning and Translating Spectroscopic Measurements for Stars. - Xiaosheng Zhao; Yang Huang; Guirong Xue; Xiao Kong; Jifeng Liu; Xiaoyu Tang; Timothy C. Beers; Yuan-Sen Ting; A-Li Luo (CoRR, 2025)

Effective Training Data Synthesis for Improving MLLM Chart Understanding. - Yuwei Yang; Zeyu Zhang; Yunzhong Hou; Zhuowan Li; Gaowen Liu; Ali Payani; Yuan-Sen Ting; Liang Zheng 001 (CoRR, 2025)