scBench-Long is a benchmark with 21 evaluations where the strongest AI model-harness pair succeeds on 25.4% of long-horizon single-cell biology tasks.
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TxBench-PP benchmark shows leading AI agents achieve at most 59% success on tasks requiring recovery of preclinical pharmacology conclusions from assay data.
Introduces SpatialBench-Long benchmark with 24 evaluations on spatial biology datasets from PDAC, glioblastoma, lung adenocarcinoma and optic nerve systems, reporting top model performance at 8/72 runs (11.1%).
Longitudinal study of 56,800 AI papers finds sixfold increase in code+data sharing from 2014-2024 with inferred reproducibility rising from 28% to 64%.
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scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
scBench-Long is a benchmark with 21 evaluations where the strongest AI model-harness pair succeeds on 25.4% of long-horizon single-cell biology tasks.
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TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
TxBench-PP benchmark shows leading AI agents achieve at most 59% success on tasks requiring recovery of preclinical pharmacology conclusions from assay data.
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Verifiable Benchmarking of Long-Horizon Spatial Biology
Introduces SpatialBench-Long benchmark with 24 evaluations on spatial biology datasets from PDAC, glioblastoma, lung adenocarcinoma and optic nerve systems, reporting top model performance at 8/72 runs (11.1%).
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The Shift Toward Open and Reproducible AI Research
Longitudinal study of 56,800 AI papers finds sixfold increase in code+data sharing from 2014-2024 with inferred reproducibility rising from 28% to 64%.