CalBench is a new benchmark for multi-agent LLM calendar scheduling that measures task success, excess cost, communication efficiency, burden fairness, and privacy leakage under private information constraints.
Witness slots are deliberately seeded with errands (when force_witness_errand is true) to create dis- placement pressure
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs
CalBench is a new benchmark for multi-agent LLM calendar scheduling that measures task success, excess cost, communication efficiency, burden fairness, and privacy leakage under private information constraints.