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PRISM-VLM: A Multi-Axis Discriminative Benchmark for Compact Vision-Language Models
Compact vision-language models (VLMs) now power a growing share of multimodal applications. The benchmarks used to compare them, however, inherit a frontier-centric design: each model is reduced to a single accuracy number, narrowing the inter-model gap on saturated suites and pressing models into l
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