2 papers
cs.LG2026
SpikingBrain: Spiking Brain-inspired Large Models
Yuqi Pan, Yupeng Feng, Jinghao Zhuang +16
Mainstream Transformer-based large language models face major efficiency bottlenecks: training computation scales quadratically with sequence length, and inference memory grows lin…
cs.LG2026
Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling
Bojian Yin, Shurong Wang, Haoyu Tan +3
Real-world sequential signals, such as audio or video, contain critical information that is often embedded within long periods of silence or noise. While recurrent neural networks…