T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation
Abstract Large language models (LLMs) demonstrate exceptional linguistic capabilities in text generation but remain prone to factual errors, particularly in specialized domains. Traditional factuality evaluation methods primarily rely on human annotation, which is costly, time-consuming, and difficu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00294-w |
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