Unverified50% confidenceFactExact time
Pre-training recorded-prediction tests show that the low XOR degree of the target bits is not sufficient to guarantee that these bits will be used by the model.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTraditional benchmarks have become ineffective for evaluating model reasoning ability because almost every model may have seen the standard answers in its training data.69% similarUnverifiedThe MTP head parameter count is typically less than 1% of the main model and is jointly pre-trained with the main model.67% similarUnverified即使只有5-10%的训练样本存在错位，也会导致VLM模型在下游任务上出现显著的性能退化66% similarUnverifiedIn real-environment A/B testing, the post-trained checkpoint reduced the tool-call failure rate by 21.2% relatively compared to the earlier version.66% similarUnverifiedThe quality ceiling of weak supervision labels depends on the accuracy of the zero-shot model itself; if the model makes systematic errors, the training set will inherit that bias.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1012889API
curl https://kongchang.com/api/v1/knowledge/claims/1012889MCP
get_claim(id=1012889)