Unverified50% confidenceDecision RuleExact time
In classification tasks, conformal prediction outputs a set of candidate labels; when the set size exceeds 1 or contains a high-risk label, the request is handed to the approval gate or an LLM.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe same classification configuration can be reused in scenarios such as lead scoring, order categorization, and content moderation.68% similarUnverifiedMulti-query retrieval uses an LLM to automatically generate 3–5 semantically equivalent but differently phrased variant queries for the same question, retrieves results for each separately, and takes the union to improve recall.68% similarUnverifiedThe column type annotation and data classification task involves tagging columns with ontology labels related to sensitivity and governance.67% similarUnverified多标签分类允许每个样本同时被赋予多个标签，突破了标准分类的互斥性约束67% similarUnverifiedThe approach of metadata pre-filtering is to first have an LLM determine user intent and extract structured filter conditions from the query, then apply these conditions as hard filters to the vector database before executing semantic similarity search.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1083199API
curl https://kongchang.com/api/v1/knowledge/claims/1083199MCP
get_claim(id=1083199)