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#large language models Open access Sep 2026

Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news

In the contemporary digital media landscape, the ability to automatically distill public opinion from a vast and continuous stream of information is highly important. Aspect-Based Sentiment Analysis (ABSA) offers this granular capability. In this work, we address a specific, industrially relevant formulation of this ta...

Nishan Chatterjee, B. Koloski, Antoine Doucet et al. · 0 citations
#natural language process... Preprint Sep 2026

Navigating the digital spectrum: Assessing political bias, stability, and downstream fairness in Large Language Models

A robust Political Compass Test evaluation framework is introduced that samples 300 configurations across an eight-dimensional perturbation space varying language, framing, instructions, answer format, option order, and persona wording, and results show most models lean Libertarian-Left on average and larger models sho...

Luka Debevc, Nishan Chatterjee, Antoine Doucet et al. · 0 citations

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