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cs.LG2026
Raven: High-Recall Sequence Modeling with Sparse Memory Routing
Arshia Afzal, Aviv Bick, Eric P. Xing +2
Long-context recall in linear-time sequence models highlights a tradeoff in how they write to memory. State-based linear models, such as state-space models (SSMs) and linear Transf…
cs.LG2025
Linear Attention for Efficient Bidirectional Sequence Modeling
Arshia Afzal, Elias Abad Rocamora, Leyla Naz Candogan +5
Linear Transformers and State Space Models have emerged as efficient alternatives to softmax Transformers for causal sequence modeling, enabling parallel training via matrix multip…