DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models

Shengdi Yin, Zekun Wang, Liang Yang, Hongfei Lin


Abstract
This paper details the various methods we explored.Thank you.
Anthology ID:
2025.semeval-1.123
Volume:
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
Month:
July
Year:
2025
Address:
Vienna, Austria
Editors:
Sara Rosenthal, Aiala Rosá, Debanjan Ghosh, Marcos Zampieri
Venues:
SemEval | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
909–913
Language:
URL:
https://preview.aclanthology.org/transition-to-people-yaml/2025.semeval-1.123/
DOI:
Bibkey:
Cite (ACL):
Shengdi Yin, Zekun Wang, Liang Yang, and Hongfei Lin. 2025. DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 909–913, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models (Yin et al., SemEval 2025)
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PDF:
https://preview.aclanthology.org/transition-to-people-yaml/2025.semeval-1.123.pdf