GENEB: Why Genomic Models Are Hard to Compare
Progress in genomic foundation models is difficult to assess due to fragmented benchmarks, incompatible evaluation protocols, and task-specific reporting. As a result, claims of superiority or generality across models are often not directly comparable. We introduce GENEB, a large-scale diagnostic benchmark that evaluates frozen representations from 40 genomic foundation models across 100 tasks spanning 13 functional categories under a unified probing-based protocol, including few-shot regimes. GENEB enables controlled comparison across model scale, architecture, tokenization, and pretraining data while explicitly exposing task-level trade-offs. Our analysis shows that aggregate leaderboar...
| Authors | Daria Ledneva, Mikhail Nuridinov, Denis Kuznetsov |
|---|---|
| Primary category | cs.CL |
| Published | 3 June 2026 |
| Last updated at source | 5 August 2026 |
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