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cs.LG2026
MirrorLA: Reflecting Feature Map for Vision Linear Attention
Weikang Meng, Liangyu Huo, Yadan Luo +3
Linear attention significantly reduces the computational complexity of Transformers from quadratic to linear, yet it consistently lags behind softmax-based attention in performance…
cs.LG2026
STILL: Selecting Tokens for Intra-Layer Hybrid Attention to Linearize LLMs
Weikang Meng, Liangyu Huo, Yadan Luo +4
Linearizing pretrained large language models (LLMs) primarily relies on intra-layer hybrid attention mechanisms to alleviate the quadratic complexity of standard softmax attention.…