pass@k can be gamed by synthetic data: researchers debate post-training benchmark reliability

eliebakouch · x · 2026-10-24

eliebakouch and @bneyshabur debate benchmark trustworthiness: pass@k on coding benchmarks can be gamed with synthetic data and post-training benchmarks overoptimized, so results are "just an extra data point" until the model is actually used. An attached chart shows Pearson r of bpb across 9 codebases for Kimi-K3, Mirendil-Base, Nemotron-550B, GLM-5.3 and DSV4-Pro — pairwise correlations of 0.89–0.99, meaning models rank codebases nearly identically.

Related event: Researchers debate credibility of coding benchmarks as pass@k can be gamed(4 posts)→

Original post →

More from Models

Models channel →