3 citations · 4 across the 14 of their papers we have counts for
5 papers · 1 filter
PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models
Yingen Liu, Fan Wu, Ruihui Li +2
Multimodal large language models (MLLMs) demonstrate strong performance across visual tasks, but their efficiency is hindered by significant computational and memory demands from p…
Enhancing the Prediction of Glass Dynamics by Incorporating the Direction of Deviation from Equilibrium Positions
Xiao Jiang, Zean Tian, Kenli Li +1
Elucidating the intricate relationship between the structure and dynamics in the context of the glass transition has been a persistent challenge. Machine learning (ML) has emerged…
Towards interpreting the thermally activated dynamics in metallic glass with the structural constraint neural network
Xiao Jiang, Zean Tian, Kenli Li +1
Unraveling the structural factors influencing the dynamics of amorphous solids is crucial. While deep learning aids in navigating these complexities, transparency issues persist. I…
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
Zhiwei Zuo, Zhuo Tang, Bin Wang +2
New categories may be introduced over time, or existing categories may need to be reclassified. Class incremental learning (CIL) is employed for the gradual acquisition of knowledg…
Machine unlearning through fine-grained model parameters perturbation
Zhiwei Zuo, Zhuo Tang, Kenli Li +1
Machine unlearning techniques, which involve retracting data records and reducing influence of said data on trained models, help with the user privacy protection objective but incu…