Unverified50% confidenceOpinionExact time
Bad answers blamed on the model being inadequate mostly trace back to the documents themselves after investigation: outdated versions, duplicated content, and multiple files conflicting with each other.
1
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50%
Confidence
Long-term
Relevance
10/16/2026
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Unverified标准自回归模型逐Token从左到右生成文本，在时间步t仅依赖之前的输出，缺乏自我审查和回溯机制，导致错误积累效应74% similarUnverifiedThe paper names the failure mode in which content-based eviction mechanisms cause verbatim copying to break off midway as 'sequential amnesia'.74% similarUnverified合成数据的反馈循环会导致模型崩溃，表现为词汇单一化、句子结构趋同、长尾内容消失73% similarUnverifiedWhen two contradictory documents are retrieved simultaneously from the knowledge base, the model may synthesize an inaccurate answer or reach opposite conclusions across different sessions.72% similarUnverifiedThe same type of error may correspond to completely different causes: unclear instructions and retrieval that fails to cover key documents both manifest as "answering the wrong question"; lacking real-time values and lacking private knowledge both manifest as "fabricating content"; insufficient base model capability and noisy training data labels may also produce seemingly similar errors.72% similar
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