Unverified50% confidenceFactExact time
PinSay stipulates that errors are returned in the form of error codes rather than natural language descriptions
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/10/2026
First Seen
Valid until: 1/8/2027
Sources
Related Entities
Related Claims
UnverifiedCommon failure modes when large language models return structured data include: extraneous natural language mixed before or after the JSON, inconsistent key name casing, numeric fields returned as string types, and errors in nesting levels.57% similarUnverifiedWriting scoring rules into a prompt in natural language has drawbacks: wording variations across different calls may cause the model's understanding to drift, and the scoring logic cannot be directly parsed or reused by programs.56% similarUnverified在信件翻译评分标准中应单独设立「关键错误（critical error）」标记，以专门捕捉可能造成实际危害的翻译失误56% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/993552API
curl https://kongchang.com/api/v1/knowledge/claims/993552MCP
get_claim(id=993552)