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Found 4 papers, 2 papers with code
Large Language Models Meet NLP: A Survey
While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this field remains largely unexplored.
AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models
Thus, we propose a fully automatic LLM-based framework to construct attack knowledge graphs named: AttacKG+.
Uni-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images
In this paper, we introduce Uni-Removal, a twostage semi-supervised framework for addressing the removal of multiple degradations in real-world images using a unified model and parameters.
COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based Models
The model performance evaluation results showcase that our best model (BERT finetuned model with frozen parameters plus BiLSTM layers) achieves state-of-the-art results towards COVID-19 fake news detection task.
