Assess the Typicality of GEA’s Reported Performance

Determine whether the reported GEA accuracy of 0.88 on the 60-task small-and-medium Polyglot coding subset represents a typical run or a fortunate single-run outcome.

Background

The paper compares MetaShare with Group-Evolving Agents (GEA) on a 60-task subset of the Polyglot coding benchmark. MetaShare reports results from five repeated runs, whereas GEA’s reported accuracy is based on a single run. Because the two systems therefore have different levels of empirical replication, the authors state that the observed numerical gap cannot establish a reliable performance ordering.

Resolving this uncertainty would require repeated GEA evaluations under a sufficiently matched protocol, allowing the variability and typical performance of GEA to be estimated rather than inferred from one point estimate. The question is further complicated by differences in initialization and by the fact that the baseline results were digitized from a published figure rather than independently reproduced.

References

GEA reports a single-run point estimate, so there is no interval to compare against our five-run spread, and we cannot tell whether $0.88$ is a typical or a fortunate run of that system.

— MetaShare: Failure-Aware Collective Self-Improvement for Open-Ended Agents  (2610.21887 - Bhutani et al., 15 Oct 2026) in Appendix, Section “Polyglot: Per-Run Detail,” subsection “Comparison with GEA”