Article

CovNav: Conformal Prediction-Guided Adaptive Inference for ObjectNav

CovNav is a training-free framework that uses conformal prediction (CP) to turn spatial queries in ObjectNav into structured binary decisions: a local large model in fast mode judges whether the target is likely near an observed object, CP converts its token probabilities into a prediction set, and only ambiguous queries are escalated to slow chain-of-thought reasoning.

Part of the event: CovNav Uses Conformal Prediction to Invoke Slow Reasoning on Demand for ObjectNav

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