Unverified50% confidenceFactExact time
Common techniques for mitigating hallucination include refusing to answer when uncertain, grounding answers in verifiable sources, answer verification, and lowering the sampling temperature, but none of these techniques is perfect.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedExisting hallucination mitigation approaches (corpus grounding, mutual verification, preference alignment) mostly treat hallucinated terms as generic noise and filter them using consistency heuristics, lacking mechanistic explanations and principled criteria for determining how many expansion terms to retain.74% similarUnverifiedMainstream hallucination detection methods generally face the dilemma of being unable to simultaneously achieve both accuracy and efficiency.73% similarVerifiedSetting the temperature parameter too high in decoding strategies leads to increased sampling randomness, which is associated with hallucination generation71% similarUnverifiedIn actual deployment, to reduce the risk of hallucination, mechanisms such as displaying citation sources, confidence judgment, and manual review usually need to be added.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1063195API
curl https://kongchang.com/api/v1/knowledge/claims/1063195MCP
get_claim(id=1063195)