Verified65% confidenceFactExact time
The prompts submitted to the models did not include question-type hints, requiring the models to determine the question type on their own.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
8/18/2026
First Seen
Valid until: 11/16/2026
Sources
Related Claims
Unverified该系统在提示词中明确要求模型只能使用提供的上下文作答，答案不在上下文中时直接回答不知道，而非凭训练记忆编造77% similarUnverifiedDirectional judgments on numerical values should not be left to the model; a schema should be used to make deterministic pre-judgments, and the model should only explain and debate.77% similarVerifiedExplicitly instructing the model via prompt to answer only based on the provided context and to respond with "I don't know" if the answer is not present can mitigate hallucination (grounding).77% similarUnverifiedFew-shot prompting does not modify model weights; it constrains the output distribution through context only at inference time, unlike fine-tuning in traditional machine learning.76% similarUnverifiedLexical hits do not prove that the model achieved entity-level retrieval; the model may simply have written certain word sequences into the output distribution rather than truly storing entity–answer correspondences.76% similar
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