AINeutralarXiv – CS AI · 14h ago6/10
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Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders
Researchers propose a modified Transformer encoder that explicitly separates positional and semantic information into three independent streams, revealing that positional data naturally collapses into a low-frequency 2D structure and that standard encoding methods fail to preserve macroscopic positional information under language modeling pressure.