CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies
CoffeeBench evaluates LLM agents in a multi-agent economic simulation where firms interact over 90 days to maximize profits, revealing differences in communication patterns and per…
Hugging Face · Daily Papers
·Issa Sugiura, Daichi Hattori
·
·▲ 7 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Issa Sugiura, Daichi Hattori, Kazuo Araragi, Keita Ogawa, Shota Onose, Taro Makino
- 7 upvotes da comunidade
- Temas: LLM agents, multi-agent economy, long-horizon tasks, economic systems, autonomous agents, communication
Resumo
Resumo original (em inglês), extraído do paper:
CoffeeBench evaluates LLM agents in a multi-agent economic simulation where firms interact over 90 days to maximize profits, revealing differences in communication patterns and performance among various models.Onde ler
// relacionados
