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Found 2 papers, 1 papers with code
Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier
Additionally, We find that most of the solutions to long-tailed problems are still biased towards head classes in the end, and we propose a simple and post hoc prediction re-balancing strategy to further mitigate the basis toward head class.
Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media
This paper proposes a new depression detection system based on LLMs that is both interpretable and interactive.
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