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09/12/2023
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Large language models excel in many human-language tasks but often falte...
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08/26/2023
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content
In this paper, we tackle the emerging challenge of unintended harmful co...
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08/15/2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Large Language Models (LLMs) hold immense potential to generate syntheti...
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06/20/2023
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy
This study investigates the application of Large Language Models (LLMs),...
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04/12/2023
Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature
We demonstrate the potential of the state-of-the-art OpenAI GPT-4 large ...
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07/06/2022
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer
We introduce Astroconformer, a Transformer-based model to analyze stella...
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06/30/2021
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
We leverage state-of-the-art machine learning methods and a decade's wor...
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07/06/2020
Interpreting Stellar Spectra with Unsupervised Domain Adaptation
We discuss how to achieve mapping from large sets of imperfect simulatio...
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07/06/2020