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Evaluation & Observability·Artificial Intelligence
pass@k

pass@k

/ˌpɑːs ət ˈkeɪ/

📏 Evaluation & Observability

the probability that at least one of k sampled attempts is correct

pass@k in a sentence

“The coding model hit 90% pass@10 but only 55% pass@1.”

Origin of pass@k

coined for code-generation evaluation (Chen et al., 2021)

Related Words

drift

gradual change in inputs or behavior that quietly erodes performance

error analysis

systematically reading failures to find the patterns worth fixing

perplexity

a measure of how surprised a model is by text; lower means better prediction

benchmark saturation

when models max out a test so it can no longer tell them apart

observability

the degree to which a system's inner behavior can be inferred from what it emits

verbosity bias

a judge's tendency to score longer answers higher regardless of quality

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