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20232026
most citedMMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

6 citations · 16 across the 17 of their papers we have counts for

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cs.CV2023★ 2 cited

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models

Wenqi Shao, Meng Lei, Yutao Hu +8

Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated significant progress in tackling complex multimodal tasks. Among these cutting-edge developments, Goog…