𝒮2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction

Bingfeng Chen, Chenjie Qiu, Yifeng Xie, Boyan Xu, Ruichu Cai, Zhifeng Hao


Anthology ID:
2025.findings-naacl.379
Volume:
Findings of the Association for Computational Linguistics: NAACL 2025
Month:
April
Year:
2025
Address:
Albuquerque, New Mexico
Editors:
Luis Chiruzzo, Alan Ritter, Lu Wang
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
6799–6806
Language:
URL:
https://preview.aclanthology.org/Author-Pages-WenzhengZhang-ZhengyanShi-ShuYang/2025.findings-naacl.379/
DOI:
10.18653/v1/2025.findings-naacl.379
Bibkey:
Cite (ACL):
Bingfeng Chen, Chenjie Qiu, Yifeng Xie, Boyan Xu, Ruichu Cai, and Zhifeng Hao. 2025. 𝒮2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 6799–6806, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):
𝒮2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction (Chen et al., Findings 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/Author-Pages-WenzhengZhang-ZhengyanShi-ShuYang/2025.findings-naacl.379.pdf