Multimodal large language models (MLLMs) often struggle with complex tasks due to their lack of structured reasoning processes. Traditional methods like Chain-of-Thought and Monte Carlo Tree Search (MCTS) are either inflexible or slow. Researchers proposed CoMCTS, a framework combining multiple pre-trained models to improve

4m read timeFrom marktechpost.com
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