Multimodal Inference
Multimodal Inference is a cognitive process within inferential comprehension that integrates and interprets information from multiple representational modes—such as linguistic, visual, auditory, and gestural inputs—to generate coherent, implicit understandings that transcend the individual modalities.
61
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2.7K
Citations
313
Authors
125
Institutions
Publications per year
2017–2026
44
Parents
61
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
Zhengyuan Yang, Linjie Li, Kevin Lin et al. · arXiv (Cornell University) · 2023 · 169 citations · Full text
The role of interoceptive inference in theory of mind
Sasha Ondobaka, James M. Kilner, Karl Friston · Brain and Cognition · 2015 · 155 citations · Full text
Multimodal Chain-of-Thought Reasoning in Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li et al. · arXiv (Cornell University) · 2023 · 98 citations · Full text
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125

Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
249 citations

University of Minnesota
Minneapolis, United States
2 h-index
7 publications
330 citations
Institute of Information Engineering
Beijing, China
2 h-index
2 publications
89 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
419 citations
University College London
London, United Kingdom
2 h-index
5 publications
545 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
126 citations
IBM (United States)
Armonk, United States
2 h-index
5 publications
151 citations
Peng Cheng Laboratory
Shenzhen, China
2 h-index
3 publications
108 citations
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Repository · 12 publications · 566 citations
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Conference · 3 publications · 74 citations
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2 publications · 139 citations
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1 publications · 70 citations
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1 publications · 51 citations
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