Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness

Ulysse Maes; Lien Michiels; Annelien Smets

doi:https://axai.trx.li/papers/11.pdf

Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness

Ulysse Maes, Lien Michiels, Annelien Smets

Onderzoeksoutput: Conference paper

Originele taal-2	English
Titel	Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025)
Uitgeverij	CEUR Workshop Proceedings
DOI's	https://doi.org/https://axai.trx.li/papers/11.pdf
Status	Accepted/In press - 2025

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https://axai.trx.li/papers/11.pdf

FWOTM1251: Nudging naar diversiteit van standpunten? Evaluatie van de impact van Large Language Modelgegenereerde toelichtingen op de consumptie van nieuwsdiversiteit
Maes, U., Smets, A. & Raats, T.
1/11/24 → 31/10/28
Project: Fundamenteel
FWOSBO50: SBO project Serendipity Engine: naar een verrassende en interessante stadsbeleving
Ballon, P. & Smets, A.
1/10/22 → 30/09/26
Project: Toegepast

Citeer dit

Maes, U., Michiels, L., & Smets, A. (Geaccepteerd/In druk). Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness. In Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025) CEUR Workshop Proceedings. https://doi.org/https://axai.trx.li/papers/11.pdf

Maes, Ulysse ; Michiels, Lien ; Smets, Annelien. / Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness. Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025). CEUR Workshop Proceedings, 2025.

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title = "Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness",

author = "Ulysse Maes and Lien Michiels and Annelien Smets",

year = "2025",

doi = "https://axai.trx.li/papers/11.pdf",

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booktitle = "Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025)",

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Maes, U , Michiels, L & Smets, A 2025, Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness. in Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025). CEUR Workshop Proceedings. https://doi.org/https://axai.trx.li/papers/11.pdf

Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness. / Maes, Ulysse ; Michiels, Lien ; Smets, Annelien.
Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025). CEUR Workshop Proceedings, 2025.

Onderzoeksoutput: Conference paper

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T1 - Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness

AU - Maes, Ulysse

AU - Michiels, Lien

AU - Smets, Annelien

PY - 2025

Y1 - 2025

U2 - https://axai.trx.li/papers/11.pdf

DO - https://axai.trx.li/papers/11.pdf

M3 - Conference paper

BT - Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025)

PB - CEUR Workshop Proceedings

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Maes U , Michiels L , Smets A. Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness. In Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025). CEUR Workshop Proceedings. 2025 doi: https://axai.trx.li/papers/11.pdf

Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness

Toegang tot document

Projecten

FWOTM1251: Nudging naar diversiteit van standpunten? Evaluatie van de impact van Large Language Modelgegenereerde toelichtingen op de consumptie van nieuwsdiversiteit

FWOSBO50: SBO project Serendipity Engine: naar een verrassende en interessante stadsbeleving

Citeer dit