Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation

Researchers introduce M-JudgeBench, a comprehensive benchmark for evaluating Multimodal Large Language Models (MLLMs) used as judges, and propose Judge-MCTS framework to improve judge model training. The work addresses systematic weaknesses in existing MLLM judge systems through capability-oriented evaluation and enhanced data generation methods.