Was passiert ist: What We Learned by Reproducing 2,200 papers from ICML

A hackathon reproduced 2,226 ICML 2026 papers using coding agents, finding 51% had verified claims and 23% had falsified or contested claims.

Warum es zählt: What We Learned by Reproducing 2,200 papers from ICML

Matters for researchers evaluating conference paper reliability and for those using AI agents to audit scientific work at scale.

Reproducibility is adversarial, not binary. Independent teams reached opposite verdicts on same claims. Missing artifacts limited many reproductions.

In den Nachrichten

Hugging Face · Veröffentlicht am 13. August 2026 · 3 Min. Lesezeit

Was passiert ist: A hackathon reproduced 2,226 ICML 2026 papers using coding agents, finding 51% had verified claims and 23% had falsified or contested claims.
Warum es zählt: Matters for researchers evaluating conference paper reliability and for those using AI agents to audit scientific work at scale.
Achtung: Reproducibility is adversarial, not binary. Independent teams reached opposite verdicts on same claims. Missing artifacts limited many reproductions.

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