Unverified50% confidenceFactExact time
Annotation disagreements in ancient script transcription cause the model to learn mutually contradictory annotations at the same time, thereby reducing prediction confidence.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen two contradictory documents are retrieved simultaneously from the knowledge base, the model may synthesize an inaccurate answer or reach opposite conclusions across different sessions.74% similarUnverifiedInference methods based on model internal features face a trade-off between false positives and false negatives74% similarUnverifiedTraditional pseudo-labeling suffers from confirmation bias: repeatedly using pseudo-labels from the same model causes biases to accumulate and amplify with each iteration.73% similarUnverified低质量的知识库会导致幻觉式引用,即模型看似使用知识库内容实则引用了错误或无关片段73% similarUnverified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72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1015177API
curl https://kongchang.com/api/v1/knowledge/claims/1015177MCP
get_claim(id=1015177)