Unverified50% confidenceFactExact time
Uncensored fine-tuning typically involves secondary fine-tuning of a base model on datasets that contain no refusal examples, or penalizing unnecessary refusal behavior during the DPO stage.
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedNegative Prompts can explicitly tell the model which elements are not desired, so as to avoid results skewing toward a realistic style.68% similarUnverifiedGrounding prompts that instruct the model to answer only based on provided documents and cite the relevant passages can greatly reduce the probability of fabrication, but cannot eliminate it entirely.67% similarUnverified针对特定触发词的后门攻击可让模型在大多数情况下表现正常，仅在遇到特定输入时才输出预设错误信息，使常规评测基准难以捕捉65% similarUnverifiedIn Skyportal, the `--reason` parameter provides an audit record for the agent's rejection rationale and helps the agent adjust its subsequent behavior.65% similarUnverified传统评测框架往往只能覆盖预设的测试场景，无法捕捉真实用户交互中的隐性失败64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/945894API
curl https://kongchang.com/api/v1/knowledge/claims/945894MCP
get_claim(id=945894)