11 citations · 12 across the 6 of their papers we have counts for
6 papers
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…
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…
Data-Efficient Approach to Humanoid Control via Fine-Tuning a Pre-Trained GPT on Action Data
Siddharth Padmanabhan, Kazuki Miyazawa, Takato Horii +1
There are several challenges in developing a model for multi-tasking humanoid control. Reinforcement learning and imitation learning approaches are quite popular in this domain. Ho…
Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
Kazuki Tsurumaki, Chie Hieida, Kazuki Miyazawa
How are emotions formed? Through extensive debate and the promulgation of diverse theories , the theory of constructed emotion has become prevalent in recent research on emotions.…
A Framework of Explanation Generation toward Reliable Autonomous Robots
Tatsuya Sakai, Kazuki Miyazawa, Takato Horii +1
To realize autonomous collaborative robots, it is important to increase the trust that users have in them. Toward this goal, this paper proposes an algorithm which endows an autono…
lamBERT: Language and Action Learning Using Multimodal BERT
Kazuki Miyazawa, Tatsuya Aoki, Takato Horii +1
Recently, the bidirectional encoder representations from transformers (BERT) model has attracted much attention in the field of natural language processing, owing to its high perfo…