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Evaluating Instrument-Centered AI Agents for Table-Top Science Experiments
Reliable evaluation of AI agents for table-top science experiments has remained elusive because live instruments are hard to reset and share at scale, while instrument statefulness and safety constraints complicate evaluation. We introduce instrMCP and q-devBench, an evaluation stack for instrument-
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