Yuan Chang

Guiding Large Language Models via External Attention Prompting for Scientific Extreme Summarization

2024

Scientific extreme summarization, the task of generating concise one-sentence summaries (TLDRs) for scientific papers, presents significant challenges due to the need for deep domain-specific understanding and the ability to distill salient information.This study identifies the …

Adapting Large Language Models to Forecast in Frequency Domain

2025

Large language models (LLMs) have recently been applied to time series forecasting to leverage their reasoning and pattern recognition capabilities. Compared to task-specific forecasting models, LLMs exhibit generalizability and a broad understanding of cross-domain knowledge. …