RUL, a hybrid training method with a detection head, hierarchical attention, and RLHF, is reported to reach 0.910 ranking-level unanswerability accuracy and 0.920 refusal rate, but no code or data are provided to verify these numbers.
Language models with image descriptors are strong few- shot video-language learners,
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Contextual Candor: Enhancing LLM Trustworthiness Through Hierarchical Unanswerability Detection
RUL, a hybrid training method with a detection head, hierarchical attention, and RLHF, is reported to reach 0.910 ranking-level unanswerability accuracy and 0.920 refusal rate, but no code or data are provided to verify these numbers.