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Rico Sennrich

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#artificial intelligence Preprint Jun 2026

Attention Calibration for Position-Fair Dense Retrieval

A strength coefficient that interpolates between uncalibrated and fully equalized attention, together with an efficient implementation that reduces peak calibration memory overhead from 5-7 GiB to under 1 MiB, and a variant that preserves the pooling token's self-attention mass and redistributes only the remaining mass...

Andrianos Michail, Elias Schuhmacher, Juri Opitz et al. · 0 citations

A Factorial Study of Synthetic Data Generation for Low-Resource Machine Translation using Grammar Books

A pipeline that uses large language models to extract grammatical rules, example sentences, and lexicons from grammar books and generate synthetic parallel corpora for fine-tuning-rather than feeding grammar content into prompts at inference time, as in prior work is introduced.

V. Ravikumar, Sina Ahmadi, L. Jäger et al. · 0 citations
#natural language process... Preprint Jun 2026

ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs

A large-scale empirical study across a diverse set of embedding models and 275+ languages spanning three parallel datasets, exposing persistent gaps in cross-lingual semantic representation that track language prevalence in training resources and subword tokenization.

Andrianos Michail, Stylianos Psychias, Michelle Wastl et al. · 0 citations

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