Bo-Qi Chen

Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective

This work provides a theoretical formalization of the relationship between model calibration and predictive accuracy, and derives the sufficient conditions for greedy decoding optimality, and proposes Greedy Decoding for Reasoning Models, which outperforms both stochastic sampling and standard greedy decoding in multimodal reasoning scenarios.