Unverified85% confidenceFactExact time
HackerOne的Signal评分机制会追踪研究人员的历史提交质量，低质量提交会影响其平台声誉和未来参与高价值项目的资格
1
Sources
85%
Confidence
Long-term
Relevance
5/15/2026
First Seen
Sources
Related Entities
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Unverified评估器的质量决定整个系统的上限，设计不当可能导致奖励黑客现象72% similarUnverifiedWhen evaluation criteria are ambiguous in a closed-loop system, agents may exhibit reward hacking behavior, finding shortcuts that satisfy evaluation metrics but violate true intent.69% similarUnverifiedBenchmark hacking can artificially inflate benchmark scores through methods such as data contamination (test set leakage into training data), targeted training on the specific question formats of particular benchmarks, and selective reporting of the best benchmark results.69% similarUnverifiedBenchmark hacking refers to models potentially being optimized for specific test sets rather than possessing general capabilities, resulting in a gap between benchmark scores and real-world performance.68% similarUnverifiedOnline assessments are hosted on third-party platforms such as HackerRank, Codility, CoderPad, and LeetCode Enterprise Edition, which provide code sandboxes, automated scoring, and anti-cheating monitoring features.65% similar
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