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Jun, 2024
混合策略训练实现的连续输出个性检测模型
Continuous Output Personality Detection Models via Mixed Strategy Training
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Rong Wang, Kun Sun
TL;DR
使用混合策略培训具有连续输出值的个性检测模型，通过精调RoBERTa-base模型并结合多层感知机（MLP）集成和超参数调优等策略，我们令人印象深刻地提高了传统的二元分类方法，从而为个性特征提供精确的连续输出，进而增强人工智能、心理学、人力资源、营销和医疗保健领域的应用。
Abstract
The traditional personality models only yield binary results. This paper presents a novel approach for training
personality detection models
that produce
continuous output values
, using mixed strategies. By lever
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