AI RESEARCH
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge
arXiv CS.CL
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ArXi:2603.11665v1 Announce Type: new Multimodal Large Language Models (MLLMs) have been widely adopted as MLLM-as-a-Judges due to their strong alignment with human judgment across various visual tasks. However, most existing judge models are optimized for single-task scenarios and struggle to generalize to diverse contexts, which is a critical requirement for reliable evaluation.