Yuanlin Chang

Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping

Neuro-symbolic learning has emerged as a promising paradigm for interpretable visual reasoning, where mapping natural language questions to executable programs plays a central role. However, most existing methods focus exclusively on the forward program generation from questions while overlooking th