1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.HC2026
Inferring Value Criteria from Ordinal Preferences: An Iterative In-Context Learning Framework for Music Generation
Futa Hidaka, Naomi Imasato, Kazuki Miyazawa +1
Adapting a generative music system to an individual's taste requires learning what that listener values. Listeners can rank pieces, but their underlying criteria may be tacit and d…
cs.MA2024★ 1 cited
Creative Agents: Simulating the Systems Model of Creativity with Generative Agents
Naomi Imasato, Kazuki Miyazawa, Takayuki Nagai +1
With the growing popularity of generative AI for images, video, and music, we witnessed models rapidly improve in quality and performance. However, not much attention is paid towar…