7 papers
Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning?
Jakob Mraz, Tomaž Curk, Blaž Zupan
Biomedical relation extraction (BioRE) is a key step in transforming biomedical literature into structured knowledge. Most existing approaches rely on supervised models trained on…
Orange Lab: Lowering Barriers to Data Mining through Embedded Interactive Workflows
Matej Bevec, Aleš Erjavec, Vesna Tanko +5
While visual programming of data analysis workflows has become an important vehicle for the democratization of data science, such systems remain largely confined to standalone appl…
Generating Statistical Charts with Validation-Driven LLM Workflows
Pavlin G. PoliÄar, Andraž Pevcin, Blaž Zupan
Generating diverse, readable statistical charts from tabular data remains challenging for LLMs, as many failures become apparent after rendering and are not detectable from data or…
VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
Pavlin G. PoliÄar, Blaž Zupan
Two-dimensional embeddings obtained from dimensionality reduction techniques such as MDS, t-SNE, or UMAP, are widely used to visualize high-dimensional data and support researchers…
Inferring Chronic Treatment Onset from ePrescription Data: A Renewal Process Approach
Pavlin G. PoliÄar, Dalibor StanimiroviÄ, Blaž Zupan
Longitudinal electronic health record (EHR) data are often left-censored, making diagnosis records incomplete and unreliable for determining disease onset. In contrast, outpatient…
Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course
Pavlin G. PoliÄar, Martin Å pendl, Tomaž Curk +1
Providing students with individualized feedback through assignments is a cornerstone of education that supports their learning and development. Studies have shown that timely, high…