Camille Barboule
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
NLP×1AI×1
Frequent co-authors
Research Timeline
2026
Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders
The paper proposes explicitly disentangling positional and semantic representations in Transformer encoders, demonstrating that this separation allows for a clearer understanding of how positional information is processed and significantly improves the retention of macroscopic document structure.
Highlighted terms show continued research focus across papers