2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2025★ 1 cited
Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference
Yuta Matsui, Ryosuke Yamaki, Ryo Ueda +2
We propose the Metropolis-Hastings Captioning Game (MHCG), a method to fuse knowledge of multiple vision-language models (VLMs) by learning from each other. Although existing metho…
cs.AI2022★ 2 cited
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models
Tadahiro Taniguchi, Yuto Yoshida, Akira Taniguchi +1
Constructive studies on symbol emergence systems seek to investigate computational models that can better explain human language evolution, the creation of symbol systems, and the…