3 papers
cs.GR2025
3Dify: a Framework for Procedural 3D-CG Generation Assisted by LLMs Using MCP and RAG
Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino +2
This paper proposes "3Dify," a procedural 3D computer graphics (3D-CG) generation framework utilizing Large Language Models (LLMs). The framework enables users to generate 3D-CG co…
cs.PF2025
Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach
Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki +1
Coherent Ising Machines (CIMs) have recently gained attention as a promising computing model for solving combinatorial optimization problems. In particular, the Chaotic Amplitude C…
cs.LG2025
Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation
Daichi Mukunoki, Shun-ichiro Hayashi, Tetsuya Hoshino +1
Generative AI technology based on Large Language Models (LLM) has been developed and applied to assist or automatically generate program codes. In this paper, we evaluate the capab…