66 citations · 240 across the 27 of their papers we have counts for
6 papers · 1 filter
Armillary: A Label-Free Coordinate System for Stellar Spectra
Yuan-Sen Ting, Serat Saad
A stellar spectrum is determined by a few parameters, so a set of spectra lies on a low-dimensional manifold with those parameters as its coordinates. We introduce Armillary, which…
More than half of recent astronomy papers are written with language-model assistance
Serat M. Saad, Yuan-Sen Ting
Language models leave a distinctive vocabulary in the prose they help write, and we measure how much of the astronomy literature now carries it. From the full text of 207,111 astro…
Egent: An Autonomous Agent for Equivalent Width Measurement
Yuan-Sen Ting, Serat Mahmud Saad, Fan Liu +1
We present Egent, an autonomous agent that combines classical multi-Voigt profile fitting with large language model (LLM) visual inspection and iterative refinement. The fitting en…
The Scaling Law in Stellar Light Curves
Jia-Shu Pan, Yuan-Sen Ting, Yang Huang +2
Analyzing time series of fluxes from stars, known as stellar light curves, can reveal valuable information about stellar properties. However, most current methods rely on extractin…
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets
Ernest Perkowski, Rui Pan, Tuan Dung Nguyen +11
We explore the potential of enhancing LLM performance in astronomy-focused question-answering through targeted, continual pre-training. By employing a compact 7B-parameter LLaMA-2…
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciucă +21
Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy. To bridge this gap, we introduce AstroLLaMA, a 7-b…