35 citations · 68 across the 26 of their papers we have counts for
3 papers · 1 filter
Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
Elizabeth Mieczkowski, Alexander Ku, Tiwalayo Eisape +5
Large language models (LLMs) are increasingly deployed in teams, yet existing coordination approaches often occupy two extremes. Highly structured methods rely on fixed roles, pipe…
Language Model Teams as Distributed Systems
Elizabeth Mieczkowski, Katherine M. Collins, Ilia Sucholutsky +2
Large language models (LLMs) are growing increasingly capable, prompting recent interest in LLM teams. Yet, despite increased deployment of LLM teams at scale, we lack a principled…
When Should We Orchestrate Multiple Agents?
Umang Bhatt, Sanyam Kapoor, Mihir Upadhyay +6
Strategies for orchestrating the interactions between multiple agents, both human and artificial, can wildly overestimate performance and underestimate the cost of orchestration. W…