LongNovel: A Multi-Scale Benchmark for Hallucination Detection in Long-Context Novel Summarization
New benchmark pushes the boundaries of hallucination detection in long-form narrative AI tasks.
Although context windows have expanded significantly in recent years, hallucinations in long-context summarization remain a challenge. Long novels are better suited than news or papers for researching these hallucinations, due to their intrinsic information and detailed descripti...
ArXiv CS.CL
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LongNovel addresses the critical limitation of current models by focusing on the complex narrative structures found in literature rather than simple informational texts. By providing a multi-scale benchmark, this research enables developers to systematically measure and mitigate hallucination risks as context windows scale to extreme lengths.
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