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Found 5 papers, 1 papers with code
Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning
This paper delves into enhancing the classification performance on the GoEmotions dataset, a large, manually annotated dataset for emotion detection in text.
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospective future directions.
When Large Language Models Meet Vector Databases: A Survey
This survey explores the synergistic potential of Large Language Models (LLMs) and Vector Databases (VecDBs), a burgeoning but rapidly evolving research area.
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
The current benchmark for evaluating a model's global shape bias is a set of style-transferred images with the assumption that resistance to the attack of style transfer is related to the development of global structure sensitivity in the model.
Variational Autoencoder for Anti-Cancer Drug Response Prediction
Additionally, we show that our model can generates effective drug compounds not previously used for specific cancer cell lines.
