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arxiv_llm_reliability · Nov 12, 2026 · paper

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Label-Efficient Document-Grounded Factuality Detection via Cross-Paraphrastic Invariance Learning

arxiv.orgNov 12, 2026
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In brief

Large language models (LLMs) can generate fluent claims that are unsupported by a given source document, motivating accurate and efficient document-grounded factuality detection. Existing LLM-based evaluators often re...

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Label-Efficient Document-Grounded Factuality Detection via Cross-Paraphrastic Invariance Learning

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