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Jakub Dotlacil

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#machine learning Preprint Sep 2026

Relational Attention for Data-Efficient Language Modeling

We present Relational BabyLM, a system submission to the BabyLM 2026 challenge that combines two cognitively motivated inductive biases in a single decoder-only Transformer. Architecturally, we replace standard self-attention with a Dual Attention Transformer (DAT), which separates the routing of object-level ("sensory...

Adrian Brasoveanu, Ece Takmaz, Jakub Dotlacil · 0 citations

Energy-Based Transformers as Predictors of Reading Difficulty

Evidence is found that energy may serve as a single unified predictor where multiple complementary measures have previously been required, suggesting that energy may serve as a single unified predictor where multiple complementary measures have previously been required.

Jakub Dotlacil, Ece Takmaz · 1 citation

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