Unverified50% confidenceFactExact time
Providing the model with BIRD's column descriptions actually made schemagate's results worse.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
Related Entities
Related Claims
UnverifiedAbout 70% of BI project failures stem from data quality problems, not the tools themselves.61% similarUnverified自回归生成的天然缺陷在于模型生成第一个 token 时无法看到整个输出序列的全局结构,导致早期决策难以被后续内容纠正60% similarUnverifiedAutoregressive models generate token by token, and if they miscount characters or miss a constraint at some intermediate step, the error accumulates forward and causes an overall collapse.59% similarVerifiedIf only the data of newly added classes is used to fine-tune an expanded classification head, the model is highly prone to catastrophic forgetting, rapidly losing its ability to recognize the original classes.58% similarUnverifiedAnnotation disagreements in ancient script transcription cause the model to learn mutually contradictory annotations at the same time, thereby reducing prediction confidence.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1050463API
curl https://kongchang.com/api/v1/knowledge/claims/1050463MCP
get_claim(id=1050463)