49 citations · 126 across the 13 of their papers we have counts for
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cs.LG2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Zexi Li, Lingzhi Gao, Chao Wu
Generative artificial intelligence (GenAI) has made significant progress in understanding world knowledge and generating content from human languages across various modalities, lik…
cs.CL2024★ 2 cited
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
Didi Zhu, Zhongyi Sun, Zexi Li +5
Catastrophic forgetting emerges as a critical challenge when fine-tuning multi-modal large language models (MLLMs), where improving performance on unseen tasks often leads to a sig…
cs.CV2024
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
Ruiyuan Zhang, Jiaxiang Liu, Zexi Li +3
Geometric fracture assembly presents a challenging practical task in archaeology and 3D computer vision. Previous methods have focused solely on assembling fragments based on seman…