BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers
The results establish BF1 as a reproducible sparse operator and selective retrofit primitive with real long-context systems value, and evaluates numerical correctness, selected-interaction scaling, kernel performance, partial-model inference, and matched next-token language modeling.
Hina Dixit
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