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Author

Nishan Chatterjee

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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

This work introduces AspectBench, a new benchmark dataset for document-level ABSA, comprising real-world online news articles in Slovenian and Serbo-Croatian, designed to test generalization to unseen aspects, and offers practical insights into the trade-offs between model complexity, data characteristics, and the deve...

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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