Current LLM agents struggle to sustain long-horizon team collaboration

AgentWorld tests teams of 3 to 20 agents over more than 50 interaction rounds, with the best evaluated model completing only 52.0 percent of tasks.

Top University

OpenAgents · Columbia University · University of Pennsylvania · Seoul National University · Penn State University

Research Digest··2 min read
The authors introduce AgentWorld, an MMORPG-based benchmark designed to isolate collaboration among independently acting LLM agents with asymmetric roles and abilities.

The authors built 100 human-annotated collaborative tasks and 100 augmented variants in an MMORPG sandbox.

Why this paper

From Columbia University and 4 others

In one line

AgentWorld shows that multi-agent LLMs achieve at most 52% success on long-horizon collaboration tasks with 25-55 rounds.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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