AutoJudger : An Adaptive Evaluation Framework for Efficient Benchmarking of MLLMs
This work introduces A 2 -Judger, a novel MLLM-based A gentic instantiation of A uto Judger equipped with semantic-aware retrieval and dynamic memory that significantly improves sample efficiency while maintaining reliable evaluation results.
Xuanwen Ding, Chengjun Pan, Zejun Li et al.
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