Papersby GlyphSLA2: Sparse-Linear Attention with Learnable Routing and QAT research paper by UC Berkeley, 2026
UC Berkeley · Inference and efficiency · Feb 13, 2026 · 1 citations · 59 upvotes · unverified
What it shows
SLA2 improves sparse-linear attention in diffusion models by introducing a learnable router, direct attention formulation, and quantization-aware fine-tuning for enhanced efficiency and quality.
By Jintao Zhang, Haoxu Wang, Kai Jiang and 6 more · arXiv 2602.12675 · PDF
UnverifiedHugging Face's summary; not yet checked by hand.
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- Venue
- arXiv.org
- Citations
- 1, 0 influential · Semantic Scholar
- Upvotes
- 59 · Hugging Face
- Lab
- UC Berkeley
Changes
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