Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning
Cache-of-Thought proposes a master-apprentice framework that reduces vision-language model reasoning costs via cached reasoning.
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Abstract
Mingyuan Wu, Jize Jiang, Haozhen Zheng, Meitang Li, Zhaoheng Li, Beitong Tian, Bo Chen, Yongjoo Park, Minjia Zhang, ChengXiang Zhai, Klara Nahrstedt. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.