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Text · dataset · 2026

AgentCollabBench

Listed in Hugging Face Datasets

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators AgentCollabBench is a diagnostic benchmark dataset for multi-agent LLM systems, targeting process-level failures that single-agent benchmarks cannot expose.

Description

Overview Multi-agent systems introduce failure modes that emerge specifically from inter-agent communication: constraint decay under peer pressure, multi-hop information loss, false-belief propagation, and private context leakage.

AgentCollabBench… See the full description on the dataset page: huggingface.co/datasets/AgentCollabBench/AgentCollabBench.

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsAgentCollabBench/AgentCollabBench15 d agoJSON v1
FieldAssertionExtractorEvidence
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