HLA: Expressive Hybrid Linear Attention via Chunk-Wise Dynamic Mixing
Hybrid Linear Attention adds query-dependent chunk routing to Gated DeltaNet, lifting long-context scores on Qwen3.5.
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Hybrid Linear Attention adds query-dependent chunk routing to Gated DeltaNet, lifting long-context scores on Qwen3.5.
Hybrid-attention LLMs learn multilingual alignment faster when a full-attention layer precedes recurrent layers.
Researchers adapt Qwen3.5 hybrid-attention backbones (0.8B-9B) into diffusion language models, reaching training loss in half the tokens versus full attention.
Video DeltaNet combines softmax and linear attention for video generation, cutting DiT denoising of a 14.3-second 768p video to 6.7 seconds.
OpenVDN releases VDN-H3, an open hybrid-attention video model on MiniMax H3 that renders a 14.4-second 768p clip in 11.23 seconds on 8 B200 GPUs.
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