Sejong Institute

A zero-shot LLM framework for analyzing user preference on product attributes: a case study of smartwatch reviews

The rise of zero-shot learning through Large Language Models (LLMs) opens new opportunities for analyzing consumer feedback without relying on annotated data. This study proposes a zero-shot framework to uncover user preferences on product attributes, using 12,900 Amazon smartwat...

Uncertainty-aware ordinal deep learning for automated periapical index assessment on dental radiographs

Abstract Automated radiographic assessment of periapical health may support scalable review, but the five-grade Periapical Index (PAI) is ordinal and should not be treated as nominal classification. We present PAI-SegScore as a single-cohort framework developed on DenPAR radiogra...