FBS introduces a causal trainable loop via PAW, CH, and SG modules to model native parallel reading in Transformers, yielding better quality-efficiency on benchmarks with complementary ablations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FBS: Modeling Native Parallel Reading inside a Transformer
FBS introduces a causal trainable loop via PAW, CH, and SG modules to model native parallel reading in Transformers, yielding better quality-efficiency on benchmarks with complementary ablations.