A new automated benchmark of 2D physics questions finds vision-language models are stronger on formulaic tasks than on spatial reasoning, and parameter count does not fully explain performance.
Llama-adapter: Efficient fine-tuning of language models with zero-init attention
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Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language Models
A new automated benchmark of 2D physics questions finds vision-language models are stronger on formulaic tasks than on spatial reasoning, and parameter count does not fully explain performance.