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20242026
most citedPolish-English medical knowledge transfer: A new benchmark and results

3 citations · 3 across the 8 of their papers we have counts for

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cs.CL2025

Preservation of Language Understanding Capabilities in Speech-aware Large Language Models

Marek Kubis, Paweł Skórzewski, Iwona Christop +4

The paper presents C3T (Cross-modal Capabilities Conservation Test), a new benchmark for assessing the performance of speech-aware large language models. The benchmark utilizes tex…

cs.CL2025

ClonEval: An Open Voice Cloning Benchmark

Iwona Christop, Tomasz Kuczyński, Marek Kubis

We present a novel benchmark for voice cloning text-to-speech models. The benchmark consists of an evaluation protocol, an open-source library for assessing the performance of voic…

cs.CL2025

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…

cs.CL2024★ 3 cited

Polish-English medical knowledge transfer: A new benchmark and results

Łukasz Grzybowski, Jakub Pokrywka, Michał Ciesiółka +2

Large Language Models (LLMs) have demonstrated significant potential in handling specialized tasks, including medical problem-solving. However, most studies predominantly focus on…

cs.CL2024

POLygraph: Polish Fake News Dataset

Daniel Dzienisiewicz, Filip Graliński, Piotr Jabłoński +3

This paper presents the POLygraph dataset, a unique resource for fake news detection in Polish. The dataset, created by an interdisciplinary team, is composed of two parts: the "fa…

cs.CL2024

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…