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This paper extends ad-hoc teamwork to multi-task settings by introducing CE-CM, an approximate Bayesian method for inferring task-invariant partner capabilities, and CE-CM-Div, which accounts for human behavioral diversity. Experiments show improved capability estimation and adaptation to human partners.
This paper introduces ECC, an algorithm that calibrates semantic embeddings with limited model comparisons to cluster queries by latent capability requirements, improving LLM capability ranking quality by over 17 percentage points over baselines.