Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
Hannah Le, Ramesh Ramasamy, Alex Urrutia +3
Artificial intelligence (AI) agents promise to accelerate drug discovery by compressing interpretation and decision-making loops, but practical deployment requires trusted evaluati…
cs.AI2026
EpiBench: Verifiable Evaluation of AI Agents on Epigenomics Analysis
Harihara Muralidharan, Reema Baskar, Soo Hee Lee +2
We introduce EpiBench, a verifiable benchmark for short-horizon epigenomics analysis. EpiBench evaluates whether agents can make well-defined analysis decisions from realistic work…
cs.AI2026
Verifiable Benchmarking of Long-Horizon Spatial Biology
Ian Diks, Harihara Muralidharan, Tim Proctor +1
AI agents are increasingly useful for biological data analysis, but existing benchmarks mostly test broad biological knowledge, executable workflows, or localized analysis steps ra…