2 citations · 7 across the 14 of their papers we have counts for
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cs.AI2024★ 2 cited
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control
Timothée Anne, Noah Syrkis, Meriem Elhosni +4
Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. Their potential to facilitate human coordination with many agents is a promising but lar…
cs.AI2024★ 2 cited
Collective Innovation in Groups of Large Language Models
Eleni Nisioti, Sebastian Risi, Ida Momennejad +2
Human culture relies on collective innovation: our ability to continuously explore how existing elements in our environment can be combined to create new ones. Language is hypothes…