Ghent University Academic Bibliography

Your filters: cql: keyword exact "large language models"

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Large language models surpass human experts in predicting neuroscience results

Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, et al.

(2025) NATURE HUMAN BEHAVIOUR. 9(2). p.305-315
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Distractor generation for multiple-choice questions with predictive prompting and large language models

Semere Kiros Bitew, Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2025) MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II. In Communications in Computer and Information Science 2134. p.48-63
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Designing social robots with LLMs for engaging human interaction

Maria Jose Pinto Bernal (UGent) , Matthijs Biondina (UGent) and Tony Belpaeme (UGent)

(2025) APPLIED SCIENCES-BASEL. 15(11).
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Public Service Algorithm (PSA) : towards a transparent, explainable, and scalable content curation for news content based on editorial values

Ahmad Mel (UGent) and Sébastien Noir

(2025) IAMCR 2025 Conference, Proceedings.
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Decoding machine translationese in English-Chinese news : LLMs vs. NMTs

Delu Kong and Lieve Macken (UGent)

(2025) Proceedings of Machine Translation Summit XX : volume 1. p.99-112
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The role of translation workflows in overcoming translation difficulties : a comparative analysis of human and machine translation (post-editing) approaches

Lieve Macken (UGent) , Paola Ruffo (UGent) and Joke Daems (UGent)

(2025) Proceedings of the Second Workshop on Creative-text Translation and Technology (CTT). p.1-13
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'Habari, colleague!' : a qualitative exploration of the perceptions of primary school mathematics teachers in Tanzania regarding the use of social robots

Edger P. Rutatola (UGent) , Koenraad Stroeken (UGent) and Tony Belpaeme (UGent)

(2025) APPLIED SCIENCES-BASEL. 15(15).
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Large language models cover for speech recognition mistakes : evaluating conversational AI for second language learners

Eva Verhelst (UGent) and Tony Belpaeme (UGent)

(2025) 2025 20TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI. In ACM IEEE International Conference on Human-Robot Interaction p.1705-1709
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Leveraging Large Language Models for a Swahili mathematics ITS in Tanzania : designing effective prompts

Edger P. Rutatola (UGent) , Koenraad Stroeken (UGent) and Tony Belpaeme (UGent)

(2025) GENERATIVE SYSTEMS AND INTELLIGENT TUTORING SYSTEMS, ITS 2025, PT I. In Lecture Notes in Computer Science 15723. p.3-16
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Efficient text encoders for labor market analysis

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Chris Develder (UGent) and Thomas Demeester (UGent)

(2025) IEEE ACCESS. 13. p.133596-133608

Academic Bibliography

Large language models surpass human experts in predicting neuroscience results

Distractor generation for multiple-choice questions with predictive prompting and large language models

Designing social robots with LLMs for engaging human interaction

Public Service Algorithm (PSA) : towards a transparent, explainable, and scalable content curation for news content based on editorial values

Decoding machine translationese in English-Chinese news : LLMs vs. NMTs

The role of translation workflows in overcoming translation difficulties : a comparative analysis of human and machine translation (post-editing) approaches

'Habari, colleague!' : a qualitative exploration of the perceptions of primary school mathematics teachers in Tanzania regarding the use of social robots

Large language models cover for speech recognition mistakes : evaluating conversational AI for second language learners

Leveraging Large Language Models for a Swahili mathematics ITS in Tanzania : designing effective prompts

Efficient text encoders for labor market analysis

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