Unverified50% confidenceFactExact time
问题分类器的底层原理是一个零样本（Zero-shot）文本分类任务，利用大模型的指令遵循能力将用户输入路由到不同分支
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified小模型适用于文本分类、意图识别、NER命名实体识别等高频任务64% similarUnverifiedTONGYI Lingma's underlying layer relies on the code understanding and generation capabilities of the Tongyi Qianwen series of large language models.63% similarUnverified文本分类、简单摘要、意图识别等任务可由更小更便宜的模型胜任，无需调用旗舰模型63% similarUnverifiedClassifiers are highly sensitive to the phrasing of requests; asking the model directly to find vulnerabilities is easily intercepted and routed, whereas describing the same task using more neutral programming-language framing often does not trigger restrictions.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/527211API
curl https://kongchang.com/api/v1/knowledge/claims/527211MCP
get_claim(id=527211)