AI RESEARCH
Method for Aggregating Unstructured Data Using Large Language Models
arXiv CS.LG
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ArXi:2604.16425v1 Announce Type: cross This paper presents a method for the automated collection and aggregation of unstructured data from diverse web sources, utilizing Large Language Models (LLMs). The primary challenge with existing techniques is their instability when the structure of webpages changes, their limited for dynamically loaded content during information collection, and the requirement for labor-intensive manual design of data pre-processing processes.