Unverified50% confidenceFactExact time
A study numbered arXiv:2609.10728 proposes using the Program-Solve method to address the arithmetic unreliability of large models in clinical calculator scenarios.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe relationship between the standard error of Monte Carlo estimation and the number of simulations N is that the standard error is proportional to 1/√N.59% similarUnverifiedA study published on arXiv (arXiv:2609.02899) proposes that concerns about benchmark contamination should be distinguished into two separate questions: whether absolute scores are inflated and whether the ranking order of models is changed.58% similarUnverifiedIn the demonstration, when DeepSeek TUI trained the CIFAR dataset to epoch 77, the model accuracy had already reached 73%.57% similarUnverifiedPew's ATP design effect typically ranges between 1.5 and 2.5, meaning that a survey with a nominal sample size of 1,000 may have an effective sample size of only 400–667.57% similarUnverifiedBenchmark overfitting is a core problem in current large model evaluation; some models achieve pass rates above 90% on HumanEval but perform far below expectations in real codebases.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/916364API
curl https://kongchang.com/api/v1/knowledge/claims/916364MCP
get_claim(id=916364)