6 citations · 7 across the 11 of their papers we have counts for
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cs.AI2026
LabOPBench: A Multimodal Benchmark for Evidence-Grounded Laboratory Decision Making
Jingyuan Li, Yujie Liu, Yijie Dai +18
Laboratory experiments involve more than following predefined protocols; they require adaptive decision-making as the experimental state changes. Existing scientific benchmarks rar…
cs.AI2026
LabCompiler: A Framework for Verifiable Human-Machine Laboratory Execution from Imperfect Protocols
Jingyuan Li, Dongzhan Zhou, Minting Pan +10
Closing the loop of AI-driven science requires reliably translating natural-language protocols into executable laboratory workflows despite protocol defects and heterogeneous hardw…