dna
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| DNA Sequence Reconstruction | Noisy-DNA | Levenshtein Distance0.162 | 81 | |
| Backdoor attack | DNA | ASRw82.59 | 30 | |
| Backdoor Attack | DNA (Do-Not-Answer) | ASR (w/ Trigger)87.59 | 18 | |
| Boolean Matrix Factorization | dna | Running Time (ms)25 | 18 | |
| Sequence Classification | DNA | Classification Error15.01 | 16 | |
| Kernel Approximation | DNA | Kernel Approximation Error (%)1.59 | 16 | |
| Model-Based Optimization | DNA k562 | Expected Top-1% Score3.15 | 16 | |
| Harmlessness Evaluation | DNA (test) | Tie Rate100 | 14 | |
| Helpfulness evaluation | DNA | Win Rate70.1 | 14 | |
| Classification | DNA 10-shot | Accuracy83.59 | 13 | |
| Classification | DNA OpenML-CC18 (test) | Accuracy66.79 | 13 | |
| Density Estimation | DNA Randomly-perturbed (test) | Log-Likelihood-83.42 | 9 | |
| Density Estimation | DNA Adversarially-perturbed Ta (test) | Log-likelihood-85.12 | 9 | |
| Subcellular structure prediction | DNA (test) | MSE0.4852 | 9 | |
| Density Estimation | DNA (test) | Avg Log-Likelihood (nats)-82.31 | 9 | |
| Tabular Classification | dna (test) | Accuracy91.2 | 9 | |
| Density Estimation | DNA Original T (test) | Log-likelihood-79.97 | 7 | |
| Safety Evaluation | DNA | Safety Score95.9 | 7 | |
| DNA sequence design | DNA | Pass@9588.5 | 6 | |
| Generation | DNA | Pass@9570.5 | 5 | |
| Runtime Evaluation | dna | Runtime (s)0.189 | 5 | |
| Runtime Efficiency | dna 25% query size | Runtime (s)0.172 | 5 | |
| MAP Inference | dna 50% query size | Runtime (s)0.174 | 5 | |
| Density Estimation | DNA Twenty Datasets (test) | Log-Likelihood-97.23 | 4 | |
| Lasso path solving | DNA Biological (libsvm + TCGA/Kaggle) (1700 × 180) | Mean Wall-Clock Time (ms)15.9 | 3 |
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