Unverified50% confidenceOpinionExact time
A model can avoid words or sentence patterns flagged as harmful at the surface output level while retaining the original bias structure in the semantic associations encoded in its weights.
1
Sources
50%
Confidence
Long-term
Relevance
9/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedConstrained decoding tools such as Outlines and Guidance allow models to be forced at inference time to produce text conforming to a specific grammar or schema, but potentially at the cost of some generation quality.75% similarUnverified在需求描述中加入否定性描述（不需要什么）能帮助模型排除歧义路径，避免生成多余的代码模块74% similarUnverified受限解码在保证格式正确性的同时，可能改变模型实际采样分布，导致语义质量的次优选择72% similarVerifiedThe output of large language models is fundamentally probabilistic text generation, and a single rephrasing of a prompt can change field names, nesting levels, or enumeration values in the output without triggering compile-time or static analysis warnings.71% similarUnverified即使输入完全无意义的假词，文生图模型也不会拒绝处理，而是通过BPE拆解为已知子词并生成看起来连贯的角色图像71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/934524API
curl https://kongchang.com/api/v1/knowledge/claims/934524MCP
get_claim(id=934524)