3 citations · 3 across the 3 of their papers we have counts for
4 papers
Reconstructing Implicit Scientific Knowledge: Evaluating LLM Agents through End-to-End Reproduction of Astronomy
Yuehui Wang, Xinyu Qi, Guirong Xue +4
The integration of large language models (LLMs) into scientific workflows is accelerating, yet their ability to reconstruct the reasoning underlying published research remains unex…
Decoding RR Lyrae light curves with deep learning for accurate absolute magnitude estimation
Shunxuan He, Huiwen Wu, Yang Huang +6
RR Lyrae stars are essential standard candles for distance measurements in the Milky Way and nearby galaxies. Traditional estimates rely on the Period--Absolute Magnitude--Metallic…
SpecCLIP: Aligning and Translating Spectroscopic Measurements for Stars
Xiaosheng Zhao, Yang Huang, Guirong Xue +6
In recent years, large language models (LLMs) have transformed natural language understanding through vast datasets and large-scale parameterization. Inspired by this success, we p…
FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
Xiaoxiong Zuo, Yihan Tao, Yang Huang +13
Time-domain surveys have advanced astronomical research by revealing diverse variable phenomena, from stellar flares to transient events. The scale and complexity of survey data, a…