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Papers Benchmarks Datasets Tasks

MN dataset and benchmarks · SOTA2 Research

Research Datasets

MN

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Mutation Killing

MN (Killable)

4.4rho_k

48

Mutation Killing

MN (Non-Killable)

31.7Rho K

24

3D Point Cloud Classification

MN40

93.07Accuracy

21

Model Calibration

MN

5.413MAE

20

MN staging classification

MN staging dataset

72.69Accuracy

17

Single-Cell Gene Regulatory Network Inference

mN tomato

8.458AUPRC

10

Model Calibration

MN 0.3

4.515MAE

10

Gene Regulatory Network Inference

mN

0.01p-value

5

Backdoor Attack

MN (test)

0.42Runtime (s)

4

Machine Reading Comprehension

Mn Mongolian

10.2ROUGE-L

4

Text Summarization

Mn Mongolian

13.5ROUGE-L

4

Popular tasks

Model Calibration Mutation Killing 3D Point Cloud Classification Text Summarization Machine Reading Comprehension

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