4 papers
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…
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski +5
Humans are remarkably adept at collaboration, able to infer the strengths and weaknesses of new partners in order to work successfully towards shared goals. To build AI systems wit…
Predicting Multi-Agent Specialization via Task Parallelizability
Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil Bramley +3
When should we encourage specialization in multi-agent systems versus train generalists that perform the entire task independently? We propose that specialization largely depends o…