Ilseyar Alimova

LLMs exhibit a stark performance disparity in mathematical reasoning, with underrepresented languages lagging significantly behind their high-resource counterparts.

Tatoxa outperforms leading LLMs in detoxifying Tatar text, revealing the critical importance of native data for low-resource language models.

Ditch the polarity labels: SemEval-2026's DimABSA task reveals how modeling sentiment along valence-arousal dimensions unlocks nuanced understanding in both aspect-based sentiment analysis and stance detection.