BehaviorLM applies progressive fine-tuning in two stages to let LLMs predict both frequent anchor and rare tail user behaviors more robustly on real-world datasets.
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Domain-adaptive models like IndicBERT-HPA deliver more reliable multilingual orthopedic diagnosis than zero-shot LLMs across six categories, with a proposed conceptual validation framework.
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Tuning Language Models for Robust Prediction of Diverse User Behaviors
BehaviorLM applies progressive fine-tuning in two stages to let LLMs predict both frequent anchor and rare tail user behaviors more robustly on real-world datasets.
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Reliability-Oriented Multilingual Orthopedic Diagnosis: A Domain-Adaptive Modeling and a Conceptual Validation Framework
Domain-adaptive models like IndicBERT-HPA deliver more reliable multilingual orthopedic diagnosis than zero-shot LLMs across six categories, with a proposed conceptual validation framework.