Where one study disagrees with what other studies report for the same models, and what we are doing to resolve each case.
These are automatic leads, not findings of error. Each release, a check compares how every study ranks the models it shares with other studies. It flags a study that reverses the order the others agree on, or whose gap to a shared reference model lies well outside theirs. Different tasks, populations or metrics often explain a flag.
A flag never hides a result. Flagged results stay in every table, page and download, marked Contested. A result is withheld only when a reviewer marks it disputed.
GENEB leaderboard (leaderboard.json, 13 task-type aggregates) ranks Nucleotide Transformer v2 above Evo in 42 of 45 comparisons; other studies rank Evo above Nucleotide Transformer v2 in 6 of 6.
Zero-shot benchmarking of RNA language… ranks Evo above Nucleotide Transformer v2 in all 6 of its comparisons. GENEB leaderboard ranks Nucleotide Transformer v2 above Evo in 42 of its 45 comparisons and Evo higher in 3.
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning ranks Evo above Nucleotide Transformer v2 in 6 of 6 comparisons; other studies rank Nucleotide Transformer v2 above Evo in 42 of 45.
GENEB leaderboard ranks Nucleotide Transformer v2 above Evo in 42 of its 45 comparisons and Evo higher in 3. Zero-shot benchmarking of RNA language… ranks Evo above Nucleotide Transformer v2 in all 6 of its comparisons.