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  3. SLA2: Sparse-Linear Attention with Learnable Routing and QAT
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SLA2: Sparse-Linear Attention with Learnable Routing and QAT

Stale16d ago
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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: stale

Source paper: SLA2: Sparse-Linear Attention with Learnable Routing and QAT

PDF: https://arxiv.org/pdf/2602.12675v1

Source count: 0

Coverage: 33%

Last proof check: 2026-03-19T18:48:05.835Z

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SLA2: Sparse-Linear Attention with Learnable Routing and QAT

Overall score: 3/10
Lineage: 06eca06f5831…
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Canonical Paper Receipt

Last verification: 2026-03-19T18:48:05.835Z

Freshness: stale

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 33%

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Prior Work
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
Score 3.0stable
Prior Work
Learning When to Attend: Conditional Memory Access for Long-Context LLMs
Score 3.0stable
Higher Viability
HLA: Hadamard Linear Attention
Score 4.0up
Higher Viability
Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention
Score 7.0up
Higher Viability
Stochastic Attention: Connectome-Inspired Randomized Routing for Expressive Linear-Time Attention
Score 4.0up
Higher Viability
In-Context Learning in Linear vs. Quadratic Attention Models: An Empirical Study on Regression Tasks
Score 4.0up
Higher Viability
Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering
Score 7.0up
Higher Viability
MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
Score 5.0up

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  • How do hybrid attention mechanisms compare to sparse attention in terms of LLM efficiency?(question)

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