Papers by Tongxi Wang
FBS: Modeling Native Parallel Reading inside a Transformer (2026.findings-acl)
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| Challenge: | Existing acceleration methods largely patch the autoregressive pipeline and miss core human-reading ingredients. |
| Approach: | They propose a trainable loop that injects a causal loop into Transformers via a 'parafoveal' approach. |
| Outcome: | The proposed model improves quality-efficiency trade-off without increasing parameters . ablations show the three modules are complementary . |