Cheng Tan*

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training

"Multimodal reasoning is a challenging task that requires models to reason across multiple modalities to answer questions. Existing approaches have made progress by incorporating language and visual modalities into a two-stage reasoning framework, separating rationale generation from answer inferenc…