Sample-efficient active learning for materials informatics using integrated posterior variance

· · 来源:tutorial资讯

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(五)有其他滥用职权、玩忽职守、徇私舞弊行为的。

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Two subtle ways agents can implicitly negatively affect the benchmark results but wouldn’t be considered cheating/gaming it are a) implementing a form of caching so the benchmark tests are not independent and b) launching benchmarks in parallel on the same system. I eventually added AGENTS.md rules to ideally prevent both. ↩︎

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