A multilevel meta-analysis of visual reasoning in multimodal large language models
Abstract Multimodal Large Language Models (MLLMs) have become a leading approach to visual reasoning, yet the field still lacks a quantitative synthesis that rigorously identifies the drivers of their performance. In this paper, we evaluate 21 models across 7 standardised benchmarks, yielding 102 model–benchmark observ...
Piyush Sharma, Varsha Sahni, Rijwan Khan et al.
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