A Multi-Strategy Fusion Framework for Dynamic Mental State Modeling

Mengjia Zhang, Rui Chen, Haonan Xiao, Yi Yang


Abstract
This work presents a multi-strategy framework for the CLPsych 2026 Shared Task. We integrate psychological element extraction, temporal change detection, and clinical summarization, achieving competitive performance on the official leaderboard.
Anthology ID:
2026.clpsych-1.33
Volume:
Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2026)
Month:
July
Year:
2026
Address:
San Diego, California, USA
Editors:
Aya Zirikly, Kfir Bar, Sean MacAvaney, Molly Ireland, Yaakov Ophir, Dana Atzil-Slonim, Vasudha Varadarajan, Steven Bedrick, Bart Desmet
Venues:
CLPsych | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
422–434
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.clpsych-1.33/
DOI:
Bibkey:
Cite (ACL):
Mengjia Zhang, Rui Chen, Haonan Xiao, and Yi Yang. 2026. A Multi-Strategy Fusion Framework for Dynamic Mental State Modeling. In Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2026), pages 422–434, San Diego, California, USA. Association for Computational Linguistics.
Cite (Informal):
A Multi-Strategy Fusion Framework for Dynamic Mental State Modeling (Zhang et al., CLPsych 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.clpsych-1.33.pdf