Papers with systematic evaluation of multi-agent collaboration

1 papers
PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints (2026.findings-acl)

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Challenge: Recent research explores multi-agent systems where agents collaborate toward shared goals to handle complex tasks.
Approach: They propose a benchmark for systematic evaluation of multi-agent collaboration under privacy constraints.
Outcome: The proposed benchmark shows that privacy constraints degrade collaboration performance and make outcomes depend more on the initiating agent than the partner.

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