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Author

Jakub Šmíd

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Review Jul 2026

Large Language Models for Citation Function Classification

This study presents one of the first comprehensive evaluations of multiple state-of-the-art (SOTA) large language models (LLMs) for citation function classification, achieving new SOTA results on the ACL-ARC dataset.

Daniel Vodička, Jakub Šmíd, Pavel Král et al. · 0 citations
#natural language process... Preprint Aug 2026

Generative Models Enhanced by Sequence Labelling and Aspect-Code Switching Improve Cross-lingual Aspect-Based Sentiment Analysis

A novel SeqLab framework is proposed that enhances cross-lingual ABSA using a sequence-to-sequence model with an auxiliary sequence-labelling task performed by the encoder, enhancing aspect term recognition and sentiment predictions.

Jakub Šmíd, P. Přibáň, Pavel Král · 0 citations

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