Research map / Large language models / Language, safety and interpretability
Exploring Human-Like Reading Strategy for Abstractive Text Summarization
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Abstractive Text Summarization by Incorporating Reader Comments (AAAI 2019 · similarity 0.89)
- A Deep Reinforced Model for Abstractive Summarization (ICLR 2018 · similarity 0.88)
- Controlling the Amount of Verbatim Copying in Abstractive Summarization (AAAI 2020 · similarity 0.88)
- Towards Improving Faithfulness in Abstractive Summarization (NeurIPS 2022 · similarity 0.88)
- Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization (ICLR 2026 · similarity 0.86)
- Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract) (AAAI 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.