Ghent University Academic Bibliography

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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) Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. In HRI '25 p.1705-1709
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- A2
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Computer says ‘no’ : exploring systemic bias in ChatGPT using an audit approach

Louis Lippens (UGent)

(2024) COMPUTERS IN HUMAN BEHAVIOR. ARTIFICIAL. 2(1).
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Leveraging synthetic monolingual data for fuzzy-match augmentation in neural machine translation : a preliminary study

Thomas Moerman (UGent) and Arda Tezcan (UGent)

(2024) Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation. p.34-39
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Why we should (not) worry about generative AI in medical ethics teaching

Seppe Segers (UGent)

(2024) INTERNATIONAL JOURNAL OF ETHICS EDUCATION. 9. p.57-63
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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.

(2024) NATURE HUMAN BEHAVIOUR.
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KamerRaad : enhancing information retrieval in Belgian national politics through hierarchical summarization and conversational interfaces

Alexander Rogiers (UGent) , Maarten Buyl (UGent) , Bo Kang (UGent) and Tijl De Bie (UGent)

(2024) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-RESEARCH TRACK AND DEMO TRACK, PT VIII, ECML PKDD 2024. In Lecture Notes in Computer Science 14948. p.409-412
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Social value alignment in large language models

Giulio Antonio Abbo (UGent) , Serena Marchesi, Agnieszka Wykowska and Tony Belpaeme (UGent)

(2024) VALUE ENGINEERING IN ARTIFICIAL INTELLIGENCE, VALE 2023. In Lecture Notes in Computer Science 14520. p.83-97
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Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages.

David Ife Adelani, A. Seza Doğruöz (UGent) , Andre Coneglian and Atul Ojha

(2024) 4th Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP24) at NAACL’2024 (Annual Meeting of the North American Association for Computational Linguistics). p.34-41
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Integrating fuzzy matches into sentence-level quality estimation for neural machine translation

Arda Tezcan (UGent)

(2022) COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL. 12. p.99-123

Academic Bibliography

Large Language Models Cover for Speech Recognition Mistakes: Evaluating Conversational AI for Second Language Learners

Computer says ‘no’ : exploring systemic bias in ChatGPT using an audit approach

Leveraging synthetic monolingual data for fuzzy-match augmentation in neural machine translation : a preliminary study

Why we should (not) worry about generative AI in medical ethics teaching

Large language models surpass human experts in predicting neuroscience results

KamerRaad : enhancing information retrieval in Belgian national politics through hierarchical summarization and conversational interfaces

Social value alignment in large language models

Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages.

Integrating fuzzy matches into sentence-level quality estimation for neural machine translation

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