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A review of multimodal explainable artificial intelligence: Past, present and future
Artificial intelligence (AI) has rapidly developed through advancements in computational
power and the growth of massive datasets. However, this progress has also heightened …
power and the growth of massive datasets. However, this progress has also heightened …
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
The rapid development of large language models (LLMs) has been witnessed in recent
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …
Unified Generative and Discriminative Training for Multi-modal Large Language Models
In recent times, Vision-Language Models (VLMs) have been trained under two predominant
paradigms. Generative training has enabled Multimodal Large Language Models (MLLMs) …
paradigms. Generative training has enabled Multimodal Large Language Models (MLLMs) …
[PDF][PDF] DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models
Z Jia, J Liu, H Li, Q Liu, H Gao - The 16th Asian …, 2024 - raw.githubusercontent.com
Inference augmentation techniques such as Chain-of-Thought have already made their
mark in Large Language Models (LLMs). However, transferring these advances to Large …
mark in Large Language Models (LLMs). However, transferring these advances to Large …