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This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
Python 319 39
复现了论文《基于主题模型的短文本关键词抽取及扩展》的代码
Python 31 9
Pytorch code for TAC accepted paper: "Cluster-Level Contrastive Learning for Emotion Recognition in Conversations"
Python 26 3
Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
Python 25 2
Implementation of paper: Random Sample over Join Revisit, SIGMOD 2018
Python 10
PyTorch code for IEEE TAC accepted paper: "Disentangled Variational Autoencoder for Emotion Recognition in Conversations".
Python 10 1
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