10 citations · 18 across the 6 of their papers we have counts for
6 papers · 1 filter
sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook
Ibrahim Ebrar Yurt, Fabian Karl, Tejaswi Choppa +1
Clinical question answering over electronic health records (EHRs) can help clinicians and patients access relevant medical information more efficiently. However, many recent approa…
CRAWLDoc: A Dataset for Robust Ranking of Bibliographic Documents
Fabian Karl, Ansgar Scherp
Publication databases rely on accurate metadata extraction from diverse web sources, yet variations in web layouts and data formats present challenges for metadata providers. This…
Efficient Continual Learning for Small Language Models with a Discrete Key-Value Bottleneck
Andor Diera, Lukas Galke, Fabian Karl +1
Continual learning remains a challenge across various natural language processing (NLP) tasks, as models updated with new training data often risk catastrophic forgetting of previo…
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding
Andor Diera, Abdelhalim Dahou, Lukas Galke +3
Language models can serve as a valuable tool for software developers to increase productivity. Large generative models can be used for code generation and code completion, while sm…
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
Fabian Karl, Ansgar Scherp
Short text classification is a crucial and challenging aspect of Natural Language Processing. For this reason, there are numerous highly specialized short text classifiers. However…
Are We Really Making Much Progress in Text Classification? A Comparative Review
Lukas Galke, Ansgar Scherp, Andor Diera +5
We survey the literature on single-label, multi-label, and hierarchical text classification and provide a quantitative comparison of methods categorized into bag-of-words, sequence…