FIELD NOTES TOPIC

testbed evaluation

2 notes, newest first.

  1. MedDDC-Eval: Diagnosis-Decoupled Evaluation of Multi-Turn Medical Consultation Agents

    Source note ·

    Researchers have developed a new testbed called MedDDC-Eval for evaluating multi-turn medical consultation agents. This testbed separates the quality of the elicited history from the terminal diagnosis generation…

  2. Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles

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    The paper presents an online anomaly detection framework for connected vehicles that uses a deep Q-network with self-attention to select suitable detectors, an ensemble of statistical drift detectors to monitor input…