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Fabian Karl

Observed names: Fabian Tobias Karl, Karl, Fabian
ORCID: 0009-0008-0079-5604
Observed ORCID: 0009-0008-0079-5604
OpenAlex ID: A5019494573
Transformers are Short-Text Classifiers
2023 · Fabian Karl, Ansgar Scherp · Lecture notes in computer science · 13
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
2022 · Karl, Fabian, Scherp, Ansgar · arXiv (Cornell University) · 7
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GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding
2023 · Andor Diera, Abdelhalim Dahou, et al. · GenBench Workshop on Generalisation (Benchmarking) in NLP (GenBench) · 4
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sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook
2026 · Ibrahim Ebrar Yurt, Fabian Tobias Karl, et al. · Language Resources and Evaluation Conference (LREC)
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sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook
2026 · Yurt, Ibrahim Ebrar, Karl, Fabian, et al. · arXiv (Cornell University)
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CRAWLDoc: A System for Contextual Ranking and Bibliographic Metadata Extraction from Web Resources
2026 · Fabian Karl, Ansgar Scherp · Information Retrieval Research
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Are We Really Making Much Progress in Text Classification? a Comparative Review
2026 · Ansgar Scherp, Andor Diera, et al. · IEEE Transactions on Knowledge and Data Engineering
CRAWLDoc: A Dataset for Robust Ranking of Bibliographic Documents
2025 · Karl, Fabian, Scherp, Ansgar · arXiv (Cornell University)
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HYDRA: A Multi-Head Encoder-only Architecture for Hierarchical Text Classification
2025 · Fabian Karl, Ansgar Scherp · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Visualising Complex Data Within a Data Science Loop: A Spatio-Temporal Example from Football
2022 · Leo N. Geppert, Katja Ickstadt, et al. · Springer eBooks
Creating Information-maximizing Natural Language Messages Through Image Captioning-Retrieval.
2019 · Fabian Karl, Mikko Lauri, et al. · KONVENS
Works count: 13
Citation count: 24
H-index: 3
I10-index: 1
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