Researchers Study Spatial Reasoning in MLLMs
Researchers are investigating the adversarial robustness of Multi-modal Large Language Models (MLLMs). The study focuses on how visual inputs affect the performance of these models on vision-language tasks.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“Investigating Adversarial Robustness of Multi-modal Large Language Models. Authors: Hashmat Shadab Malik, Muzammal Naseer, Salman Khan Abstract: Multi-modal Large Language Models (MLLMs) achieve strong performance on vision-language tasks, but incorporating visual inputs th...”
Modernity/arxiv
“Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching. Authors: Hao Zhong, Muzhi Zhu, Shenyan Zeng, Anzhou Li, Cong Chen, Hua Geng, Duochao Shi, Wentao Ye, Tao Lin, Hao Chen and 1 others Abstract: Wide-baseline matching (WBM) requires integrating geometr...”
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