VLM-based visual anomaly detection for robotic scientific labs via progressive prompt supervision, a new workflow benchmark, and real-world validation showing accuracy gains with added context.
Autonomous chemical research with large language models,
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A survey that deconstructs LLM agent systems via a methodology-centered taxonomy linking design principles to emergent behaviors, applications, and challenges.
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A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories
VLM-based visual anomaly detection for robotic scientific labs via progressive prompt supervision, a new workflow benchmark, and real-world validation showing accuracy gains with added context.
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Large Language Model Agent: A Survey on Methodology, Applications and Challenges
A survey that deconstructs LLM agent systems via a methodology-centered taxonomy linking design principles to emergent behaviors, applications, and challenges.