1 citations · 1 across the 8 of their papers we have counts for
8 papers
Finetuning Large Language Model as an Effective Symbolic Regressor
Yingfan Hua, Ruikun Li, Jun Yao +5
Deriving governing equations from observational data, known as Symbolic Regression (SR), is a cornerstone of scientific discovery. Large Language Models, (LLMs) have shown promise…
SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
Yizhou Wang, Chen Tang, Han Deng +29
We present a scientific reasoning foundation model that aligns natural language with heterogeneous scientific representations. The model is pretrained on a 206B-token corpus spanni…
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Ming Hu, Chenglong Ma, Wei Li +117
Scientific Large Language Models (Sci-LLMs) are transforming how knowledge is represented, integrated, and applied in scientific research, yet their progress is shaped by the compl…
High Performance Space Debris Tracking in Complex Skylight Backgrounds with a Large-Scale Dataset
Guohang Zhuang, Weixi Song, Jinyang Huang +3
With the rapid development of space exploration, space debris has attracted more attention due to its potential extreme threat, leading to the need for real-time and accurate debri…
STAR: A Benchmark for Astronomical Star Fields Super-Resolution
Kuo-Cheng Wu, Guohang Zhuang, Jinyang Huang +3
Super-resolution (SR) advances astronomical imaging by enabling cost-effective high-resolution capture, crucial for detecting faraway celestial objects and precise structural analy…
Dynamic Information Dissemination Model Incorporating Non-Adjacent Node Interaction
Xinyu Li, Jinyang Huang, Xiang Zhang +5
Describing the dynamics of information dissemination within social networks poses a formidable challenge. Despite multiple endeavors aimed at addressing this issue, only a limited…