SLA2: Sparse-Linear Attention with Learnable Routing and QAT | ScienceToStartup | ScienceToStartup

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References (62)

[1]

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

2026Chendong Xiang, Jiajun Liu et al.

[2]

Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization

2026Haocheng Xi, Shuo Yang et al.

[3]

Residual Context Diffusion Language Models

Founder's Pitch

"SLA2 enhances computational efficiency in video diffusion models by using a learnable routing mechanism for sparse-linear attention."

Sparse Attention•Score: 3•View PDF ↗

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SLA2: Sparse-Linear Attention with Learnable Routing and QAT

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References (62)

Founder's Pitch

"SLA2 enhances computational efficiency in video diffusion models by using a learnable routing mechanism for sparse-linear attention."

Commercial Viability Breakdown

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SLA2: Sparse-Linear Attention with Learnable Routing and QAT

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References (62)

Founder's Pitch

"SLA2 enhances computational efficiency in video diffusion models by using a learnable routing mechanism for sparse-linear attention."

Commercial Viability Breakdown

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