Balanced Thinking: Improving Chain of Thought Training in Vision Language Models
Balanced Thinking: Improving Chain of Thought Training in Vision Language Models explores A novel training method for vision-language models that significantly improves reasoning accuracy and conciseness by adaptively weighting training loss, reducing training time by 7x compared to standard methods.. Commercial viability score: 7/10 in Vision-Language Models.
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