3 papers
cs.AI2026
AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction
Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi
Accurately predicting individual aesthetic evaluation for images is a fundamental challenge for AI. Various deep learning (DL)-based models have been proposed for this task, traini…
cs.HC2026
Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment
Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi
Artificial intelligence (AI), exemplified by large language models (LLMs), is rapidly approaching and in some cases surpassing human performance across a wide range of cognitive ta…
cs.CE2024
Leveraging Large Language Models for Institutional Portfolio Management: Persona-Based Ensembles
Yoshia Abe, Shuhei Matsuo, Ryoma Kondo +1
Large language models (LLMs) have demonstrated promising performance in various financial applications, though their potential in complex investment strategies remains underexplore…