The Current State of Summarization

Understand

With the explosive growth of textual information, summarization systems have become increasingly important.

• This work aims to concisely indicate the current state of the art in abstractive text summarization.
• As part of this, we outline the current paradigm shifts towards pre-trained encoder-decoder models and large autoregressive language models.
• Additionally, we delve further into the challenges of evaluating summarization systems and the potential of instruction-tuned models for zero-shot summarization.