Papers with knowledge and topic extractors
SummIt: Iterative Text Summarization via ChatGPT (2023.findings-emnlp)
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| Challenge: | Existing text summarization systems generate summaries in a single step, but are often inadequate due to the issue of hallucination and the lack of accuracy. |
| Approach: | They propose an iterative text summarization framework based on large language models like ChatGPT that refines the generated summary iterativly through self-evaluation and feedback. |
| Outcome: | The proposed framework refines the generated summary iteratively through self-evaluation and feedback, closely resembling the iteration humans undertake when drafting and revising summaries. |