Encoder-decoder architectures, such as T5 or BART (Bidirectional and Auto-Regressive Transformers), use an encoder to create a context-rich representation of the input sequence, which the decoder then uses to generate an output sequence, making them flexible for tasks like translation, summarization, and question answering.

Authors

• Person: Not available Organization: Springer
  A survey on augmenting knowledge graphs (KGs) with large ...
• Person: Not available Organization: Frontiers
  Practices, opportunities and challenges in the fusion of knowledge ...

Sources

• A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer via serper
• Practices, opportunities and challenges in the fusion of knowledge ... www.frontiersin.org Frontiers via serper

Referenced by nodes (4)

• Question Answering concept
• summarization concept
• T5 concept
• translation concept