5 papers
CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs
Kamil Guttmann, Zofia Fraś, Artur Nowakowski +1
Current state-of-the-art Quality Estimation (QE) in machine translation relies on massive, proprietary LLMs, raising data privacy concerns. We demonstrate that smaller, open-source…
Visual Affect Analysis: Predicting Emotions of Image Viewers with Vision-Language Models
Filip Nowicki, Hubert Marciniak, Jakub Łączkowski +5
Vision-language models (VLMs) show promise as tools for inferring affect from visual stimuli at scale; it is not yet clear how closely their outputs align with human affective rati…
LLMzSzŁ: a comprehensive LLM benchmark for Polish
Krzysztof Jassem, Michał Ciesiółka, Filip Graliński +5
This article introduces the first comprehensive benchmark for the Polish language at this scale: LLMzSzŁ (LLMs Behind the School Desk). It is based on a coherent collection of Poli…
Temporal Image Caption Retrieval Competition -- Description and Results
Jakub Pokrywka, Piotr Wierzchoń, Kornel Weryszko +1
Multimodal models, which combine visual and textual information, have recently gained significant recognition. This paper addresses the multimodal challenge of Text-Image retrieval…
Two Approaches to Diachronic Normalization of Polish Texts
Kacper Dudzic, Filip Graliński, Krzysztof Jassem +2
This paper discusses two approaches to the diachronic normalization of Polish texts: a rule-based solution that relies on a set of handcrafted patterns, and a neural normalization…