Unverified50% confidenceFactExact time
ImplicIT-Mis is a dataset built specifically for implicit misogyny, covering English and Italian, whose samples often lack explicit cues and require background knowledge to judge.
1
Sources
50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
Related Entities
Related Claims
Unverified简单的关键词匹配容易产生大量误判和漏判，而更精准的分类需要借助AI模型本身来做语义判断58% similarUnverifiedCovert communication refers to AI agents transmitting information through non-explicit, non-human-readable channels, such as word choice, numerical patterns, formatting details, or statistical regularities.57% similarUnverifiedInstruction-data separation aims to make models clearly distinguish "content to be analyzed" from "instructions to be followed," but due to the ambiguity of natural language, complete separation remains an open problem.56% similarVerifiedThe reason large language models fabricate references is that they generate text based on probability rather than database retrieval, a phenomenon known as AI hallucination.56% similarUnverifiedThe hallucination problem in large language models can lead to the generation of fabricated references that have the correct format but cannot be found in real databases.56% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1102108API
curl https://kongchang.com/api/v1/knowledge/claims/1102108MCP
get_claim(id=1102108)