Business technology and Operations

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11 results

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2025

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records
Kim, S., Baudru, J., Ryckbosch, W., Bersini, H. & Ginis, V., 20 Jan 2025.
Research output: Working paper › Preprint

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22 Downloads (Pure)
Humanity's Last Exam
Algaba, A., Verbeken, B., Ginis, V., Van Den Houte, K. & Van Der Sypt, L., 24 Jan 2025, (Unpublished).
Research output: Working paper › Preprint
Is Intergenerational Elasticity (IGE) a Misleading Measure of Wealth Mobility?
Kim, S., Vanhoyweghen, A., Ryckbosch, W. & Ginis, V., 21 Jan 2025, SSRN, 15 p.
Research output: Working paper › Preprint

Open Access
On properties of eigenvalue regions for monotone stochastic matrices
Vagenende, B., Verbeken, B. & Guerry, M-A., 2025, ArXiv, 9 p.
Research output: Working paper › Preprint

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3 Downloads (Pure)
2024

Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science
Holst, V. T., Algaba, A., Tori, F. J., Wenmackers, S. & Ginis, V., 7 Feb 2024, (Unpublished).
Research output: Working paper › Preprint
Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias
Algaba, A., Mazijn, C., Holst, V. T., Tori, F. J., Wenmackers, S. & Ginis, V., 24 May 2024, (Unpublished).
Research output: Working paper › Preprint
2023

Nowcasting GDP through the lens of economic states
De Block, A., Boudt, K., Langenus, G. & Reusens, P., 2023.
Research output: Working paper › Preprint › peer-review
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Grégoire, E., Chaudhary, M. H. & Verboven, S., 7 Jun 2023, ArXiv.
Research output: Working paper › Preprint

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25 Downloads (Pure)
State Reunion maintainability for semi-Markov models, arxiv 2306.02088
Verbeken, B. & Guerry, M-A., 2023, ArXiv, 13 p.
Research output: Working paper › Preprint

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37 Downloads (Pure)
The Markov chain embedding problem in a low jump frequency context, arxiv 2305.19887
Carette, P. & Guerry, M-A., 2023, ArXiv.
Research output: Working paper › Preprint

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34 Downloads (Pure)
2020

HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Verboven, S., Chaudhary, M. H., Berrevoets, J. & Verbeke, W., 26 Aug 2020.
Research output: Working paper › Preprint