Unverified50% confidenceFactExact time
The channel effect from injected false positives disappears after using channel-native content, indicating it is an artifact of the experimental design rather than a real phenomenon.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQualitative safety review found that models exhibited hallucination issues, namely generating content that appears professional but is actually incorrect or fabricated.69% similarUnverified对抗补丁能干扰检测系统的原因在于它能拉高背景类别预测概率，或制造大量虚假高置信度检测框（幽灵目标），淹没真实人体目标67% similarUnverifiedPoor chunking will damage semantic features and increase the risk of hallucinations in the outputs generated by large models.67% similarUnverifiedZero fine-tuning is not a universal solution; models can still make errors in scenarios with extreme ambiguity, severe occlusion, or unusual poses.66% similarUnverifiedHallucinated proofs differ from rounding errors in numerical computation or obvious error reports in symbolic computation, as the latter two tend to be exposed in subsequent steps, whereas hallucinated proofs may remain undetected until discovered by peer review.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/975590API
curl https://kongchang.com/api/v1/knowledge/claims/975590MCP
get_claim(id=975590)