Markov-Enhanced Clustering for Long Document Summarization: Tackling the ’Lost in the Middle’ Challenge with Large Language Models
- DOI
- 10.1007/978-3-031-96231-8_29
- Published
- 2025-06-22
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-96231-8_29,
title = {Markov-Enhanced Clustering for Long Document Summarization: Tackling the ’Lost in the Middle’ Challenge with Large Language Models},
author = {Aziz Amari and Mohamed Achref Ben Ammar},
year = {2025},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-96231-8_29},
url = {https://doi.org/10.1007/978-3-031-96231-8_29}
}RIS
TY - JOUR TI - Markov-Enhanced Clustering for Long Document Summarization: Tackling the ’Lost in the Middle’ Challenge with Large Language Models AU - Aziz Amari AU - Mohamed Achref Ben Ammar PY - 2025 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-96231-8_29 UR - https://doi.org/10.1007/978-3-031-96231-8_29 ER -
APA
Amari, A., & Ammar, M. A. B. (2025). Markov-Enhanced Clustering for Long Document Summarization: Tackling the ’Lost in the Middle’ Challenge with Large Language Models. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-96231-8_29
Source records
- crossref · retrieved 2026-09-26T02:17:18.266Z