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While chain-of-thought (CoT) prompting improves reasoning in large language models, its effectiveness in vision-language models (VLMs) remains limited due to over-reliance on textual cues and memorized knowledge.
Enhancing advanced visual reasoning ability of large language models
Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, and Weidong Cai · 1929
Earlier work this paper cites.
Piaget’s theory of intelligence
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