#AI Efficiency
Latest news articles tagged with "AI Efficiency". Follow the timeline of events, related topics, and entities.
Articles (3)
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πΊπΈ Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory
[USA]
arXiv:2602.22345v1 Announce Type: cross Abstract: This thesis addresses two persistent and closely related challenges in modern deep learning, reliability and efficiency, through a unified framework ...
Related: #Machine Learning, #Model Reliability -
πΊπΈ Transporting Task Vectors across Different Architectures without Training
[USA]
arXiv:2602.12952v1 Announce Type: cross Abstract: Adapting large pre-trained models to downstream tasks often produces task-specific parameter updates that are expensive to relearn for every model va...
Related: #Machine Learning, #Model Transfer -
πΊπΈ Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders
[USA]
arXiv:2507.03262v4 Announce Type: replace-cross Abstract: Recent multimodal large language models (MLLMs) increasingly integrate multiple vision encoders to improve performance on various benchmarks,...
Related: #Model Optimization, #Multimodal Learning