3 papers
cs.MA2026
Message capacity and claim wording set the transition points of collective truth-finding in language-model networks
Makoto Fukushima
Whether human or large language model (LLM), an agent in a discussion reads only a few of the others' contributions, bounded by cognition, context, or cost. LLM collectives can set…
cs.AI2026
The Convention Gap: Towards Measuring Implicit Communication in Cooperative AI Evaluation
Makoto Fukushima, Hua-Dong Xiong, Ehsan Moradi Pari
Cooperative AI agents are evaluated against other AIs, yet human cooperation relies on implicit conventions -- shared protocols for reading meaning beyond the literal message -- wh…
cs.CL2024
Advancements and limitations of LLMs in replicating human color-word associations
Makoto Fukushima, Shusuke Eshita, Hiroshige Fukuhara
Color-word associations play a fundamental role in human cognition and design applications. Large Language Models (LLMs) have become widely available and have demonstrated intellig…