SciConBench uses rolling review panels to separate real gains from leakage

manoelribeiro · x · 2026-10-07

The benchmark evaluates models on both a fixed core set and a fresh monthly rolling panel of newly published reviews, tracking whether frontier models are genuinely improving at synthesizing scientific conclusions, can handle the latest findings, and whether gains reflect leakage. The methodology can extend to scientific domains beyond healthcare.

Related event: SciConBench, a NeurIPS-Accepted Benchmark, Finds Top AI Models Still Fail at Scientific Conclusion Synthesis(10 posts)→

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