Multimodal LLMs Show Spatial Lexical Bias
New research indicates that multimodal large language models (MLLMs) exhibit unreliable spatial lexical bias. The study details mechanistic diagnostics of this bias in MLLMs' spatial reasoning capabilities. Authors Chuang Ma, Qianying Liu, and others contributed to the research.
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Developing
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Sources · 7 independent
Modernity/arxiv
“Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning. Authors: Chuang Ma, Qianying Liu, Tomoyuki Obuchi, Fei Cheng, Wang Yang, Sudong Cai, Shuyuan Zheng, Akiko Aizawa, Sadao Kurohashi Abstract: Multimodal large language models (MLLMs) remain unreliable”
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