CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions
Chain-of-thought (CoT) reasoning has dramatically improved large language models (LLMs) by allowing them to decompose problems into intermediate steps. While CoT is widely effective for linguistic tasks, text-only CoT forces models to serialize visual problems into awkward prose. Although architectural solutions exist...
Tsung-Han Wu, Heekyung Lee, An-Ya Ji et al.
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