AI RESEARCH
DWTSumm: Discrete Wavelet Transform for Document Summarization
arXiv CS.LG
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ArXi:2604.21070v1 Announce Type: cross Summarizing long, domain-specific documents with large language models (LLMs) remains challenging due to context limitations, information loss, and hallucinations, particularly in clinical and legal settings. We propose a Discrete Wavelet Transform (DWT)-based multi-resolution framework that treats text as a semantic signal and decomposes it into global (approximation) and local (detail) components.