1 citations · 1 across the 4 of their papers we have counts for
5 papers
Music Between Two Minds: Individual Signatures, Shared States, and the Emergence of Creative Interaction
Tatsuya Daikoku, Risa Kobayashi, Rina Tabuchi +2
Some of the most valued forms of human creativity arise between people-in conversation, collaboration, and improvised music-yet how two minds jointly regulate the flow of novelty i…
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…
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…
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…
Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments
Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi
Recently, it has been recognized that large language models demonstrate high performance on various intellectual tasks. However, few studies have investigated alignment with humans…