LLaVA-o1: Transforming How We Think with Visual Language Models (VLMs)
The performance of Visual Language Models (VLMs) has often lagged behind due to a lack of systematic approaches. This limitation becomes especially pronounced in tasks requiring complex reasoning, such as multimodal question answering, scientific diagram interpretation, or logical inference with visual inputs. The introduction of LLaVA-o1 represents a significant leap forward. This innovative model tackles…