4 citations · 8 across the 6 of their papers we have counts for
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cs.AI2024★ 1 cited
LLMs Can Evolve Continually on Modality for X-Modal Reasoning
Jiazuo Yu, Haomiao Xiong, Lu Zhang +7
Multimodal Large Language Models (MLLMs) have gained significant attention due to their impressive capabilities in multimodal understanding. However, existing methods rely heavily…
cs.CV2024★ 3 cited
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Jiazuo Yu, Yunzhi Zhuge, Lu Zhang +4
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset. However, mitigating the p…