CoTHSSum: Structured long-document summarization via chain-of-thought reasoning and hierarchical segmentation
Abstract Long-document summarization remains a challenging task for large language models (LLMs), which often suffer from input length constraints, semantic incoherence, and factual hallucinations when processing extensive and complex texts. In this paper, we propose a novel summarization framework...
Saved in:
| Main Authors: | Xiaoyong Chen, Zhiqiang Chen, Shi Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00041-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Legal text summarization via judicial syllogism with large language models
by: Yumei Song, et al.
Published: (2025-07-01) -
CFAS: consensus-focused abstractive meeting summarization through multi-party discourse modeling
by: Yanan Jin, et al.
Published: (2025-08-01) -
EduFuncSum: a function-wise progressive transformer for code summarization in undergraduate programming education
by: Yi Rong, et al.
Published: (2025-06-01) -
THE CONSTRAINTS OF EMBODIMENT AND LANGUAGE-THOUGHT RELATIONS
by: Prakash MONDAL
Published: (2021-10-01) -
Comparative Analysis of T5 Model Performance for Indonesian Abstractive Text Summarization
by: Mohammad Wahyu Bagus Dwi Satya, et al.
Published: (2025-05-01)