Unverified50% confidenceSolutionExact time
Researchers first used WCM and IEM to generate a synthetic training dataset covering various combinations of soil moisture from 2% to 40%, and injected Gaussian noise to simulate real satellite defects.
1
Sources
50%
Confidence
Long-term
Relevance
10/3/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedTraining data contamination is the primary challenge faced by AI programming benchmarks, as test cases come from public GitHub repositories, which are the same sources used as pretraining data for large models.62% similarUnverifiedThe roadmap clearly distinguishes between the research and deployment phases, identifying controlled small-scale experiments, atmospheric monitoring systems, and climate model predictive capabilities as belonging to the domain of knowledge production.57% similarUnverifiedRapid model iteration typically relies on automated evaluation systems, stable training infrastructure, and internal gray-release testing mechanisms.57% similarUnverifiedEvaluations based on open-source codebases suffer from data contamination issues, as these codebases may have been included in large model training data.57% similarUnverified数据污染问题源于LLM预训练语料来自Common Crawl等大规模网络爬取，可能包含公开的基准测试题目及答案57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/970002API
curl https://kongchang.com/api/v1/knowledge/claims/970002MCP
get_claim(id=970002)