AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

OpenCompass Hub

DyCodeEval

DyCodeEval introduces methods to generate dynamic evaluation dataset and metric. Using multi-agent cooperation to rewrite benchmarks at evaluation time, it generates semantically equivalent, diverse, and non-deterministic problems—reducing data contamination and enabling more trustworthy evaluation.

Evaluation context and evidence

Source
OpenCompass Hub
Publisher
Columbia University
Benchmark release
2025-06-23
Collected
2026-08-18
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.