Researchers introduced AutoVend, a benchmark for evaluating large language model agents on long-horizon autonomous vending operations in online-to-offline commerce, where decisions are issued through web platforms but realized through costly physical execution. The benchmark targets the gap between consumer shopping agents and agents that operate businesses for sellers, according to the paper's abstract.
Large language model (LLM) agents are extending agent-mediated commerce on the Web from shopping for consumers to operating businesses for sellers. In online-to-offline (O2O) commerce, decisions are issued through Web-based platforms but realized through costly physical execution. Evaluating such ag
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