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Found 4 papers, 3 papers with code
An Empirical Study of Multitask Learning to Improve Open Domain Dialogue Systems
Autoregressive models used to generate responses in open-domain dialogue systems often struggle to take long-term context into account and to maintain consistency over a dialogue.
Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization
Text summarization is one of the most critical Natural Language Processing (NLP) tasks.
ParsBERT: Transformer-based Model for Persian Language Understanding
The surge of pre-trained language models has begun a new era in the field of Natural Language Processing (NLP) by allowing us to build powerful language models.
Short-Term Traffic Flow Prediction Using Variational LSTM Networks
The purpose of this research is to suggest a forecasting model for traffic flow by using deep learning techniques based on historical data in the Intelligent Transportation Systems area.
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