most citedA Large-Scale Multimodal Dataset and Benchmarks for Human Activity Scene Understanding and Reasoning

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cs.LG2026

Preserving Updates in Low-Bit Recurrent State Quantization

Haotian Li, Liran Dong, Kaicheng Xiao +1

Linear attention and recurrent models compress past tokens into a fixed-size state that is updated at every step. However, storing these states in high precision incurs substantial…

cs.LG2026

RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State

Kaicheng Xiao, Haotian Li, Liran Dong +1

Linear attention offers an efficient alternative to full attention with a fixed-size recurrent state. However, this state is shared by all tokens, so information from distinct toke…