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Research directions for hallucination evaluation include the development of integrated, multi-task, multilingual benchmarks with unified annotation schemas (Liu et al., 2023) and the use of attribution-aware metrics incorporating Prompt Sensitivity (PS) and Model Variability (MV).

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