1 citations · 1 across the 2 of their papers we have counts for
6 papers
Polish Medical Visual Question Answering: Vision-Language Models Underutilize Visual Evidence
Jakub Pokrywka, Łukasz Grzybowski, Antoni Lasik +3
We introduce a Polish-language medical visual question answering (VQA) benchmark, built from Polish Board Certification Examination questions for licensed physicians and dentists p…
Reassessing High-Performing LLMs on Polish Medical Exams: True Competence or Bias-Driven Performance?
Antoni Lasik, Jakub Pokrywka, Łukasz Grzybowski +7
Large language models (LLMs) in medicine are mainly evaluated using multiple-choice question answering (MCQA), which can overestimate real clinical ability due to guessing strategi…
Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning
Jeremi I. Kaczmarek, Jakub Pokrywka, Krzysztof Biedalak +2
Advances in Large Language Models revolutionized medical education by enabling scalable and efficient learning solutions. This paper presents a pipeline employing Retrieval-Augment…
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…
Evaluating Transformer Models for Suicide Risk Detection on Social Media
Jakub Pokrywka, Jeremi I. Kaczmarek, Edward J. Gorzelańczyk
The detection of suicide risk in social media is a critical task with potential life-saving implications. This paper presents a study on leveraging state-of-the-art natural languag…
GPT-4 passes most of the 297 written Polish Board Certification Examinations
Jakub Pokrywka, Jeremi Kaczmarek, Edward Gorzelańczyk
Introduction: Recently, the effectiveness of Large Language Models (LLMs) has increased rapidly, allowing them to be used in a great number of applications. However, the risks pose…