A Summary of Advances in Document Summarization from 2023-2024
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
In computer science, Document Summarization is the task of condensing some quantity of text and related content through automated means. In this document, we review recent literature in text summarization. “Hybrid” extractive-abstractive approaches continue to be explored. Some of the latest efforts have also sought to enable users to adjust summaries with queries or other structure and begun to test reinforcement-learning style agentic LLM-based solutions.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2462994
- Report Number(s):
- SAND--2024-11549
- Country of Publication:
- United States
- Language:
- English
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