SEHLP: A summary-enhanced large language model for financial report sentiment analysis via hybrid LoRA and dynamic prefix tuning.
Haozhou Li|Qinke Peng|Xu Mou|Zeyuan Zeng|Ruimeng Li|Jinzhi Wang|Wentong Sun
| Anthology ID: | DBLP:journals/ipm/LiPMZLWS26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104639 |
| URL: | https://doi.org/10.1016/J.IPM.2026.104639 |
| DOI: | https://doi.org/10.1016/J.IPM.2026.104639 |
| DBLP: | journals/ipm/LiPMZLWS26 |
| BibTeX: |
@article{li-2026-sehlp,
author = {Haozhou Li and
Qinke Peng and
Xu Mou and
Zeyuan Zeng and
Ruimeng Li and
Jinzhi Wang and
Wentong Sun},
title = {{SEHLP: A summary-enhanced large language model for financial report sentiment analysis via hybrid LoRA and dynamic prefix tuning}},
journal = {Information Processing and Management},
volume = {63},
number = {5},
pages = {104639},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2026.104639},
doi = {https://doi.org/10.1016/J.IPM.2026.104639}
}