NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT

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Jiaying Hong, Thanet Markchom, Jianfei Xu, Tong Wu, Huizhi Liang

Published: 2025, Last Modified: 26 May 2026CoRR 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: SemEval-2025 Task 3 (Mu-SHROOM) focuses on detecting hallucinations in content generated by various large language models (LLMs) across multiple languages. This task involves not only identifying the presence of hallucinations but also pinpointing their specific occurrences. To tackle this challenge, this study introduces two methods: modified RefChecker and modified SelfCheckGPT. The modified RefChecker integrates prompt-based factual verification into