Unverified50% confidenceFactExact time
The researchers iteratively rebuilt the benchmark until all eleven shortcuts were suppressed to near-random-guess levels.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
Unverified深度学习中的随机种子控制权重初始化、数据加载批次打乱顺序、Dropout神经元随机失活以及优化器中的随机梯度估计等多个随机性来源70% similarUnverified增加重排序步骤即可将检索准确率(NDCG@10)提升 10-20 个百分点65% similarUnverifiedResearch shows that for well-defined discriminative tasks, small models with targeted fine-tuning can often match or even surpass general-purpose models with more than ten times the parameters in accuracy, while offering significant advantages in inference speed and cost.63% similarUnverifiedWhen one component of a system already has randomness, stacking a probabilistic component on top of it exponentially amplifies debugging difficulty.63% similarUnverifiedThe experimental scale was 5 reward configurations × 5 random seeds × 2,000 episodes per run.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/963959API
curl https://kongchang.com/api/v1/knowledge/claims/963959MCP
get_claim(id=963959)