Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis.
Qianlong Wang|Keyang Ding|Xuan Luo|Ruifeng Xu
| Anthology ID: | DBLP:conf/sigir/WangDLX24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2462-2466 |
| URL: | https://doi.org/10.1145/3626772.3657932 |
| DOI: | https://doi.org/10.1145/3626772.3657932 |
| DBLP: | conf/sigir/WangDLX24 |
| BibTeX: |
@inproceedings{wang-2024-improving,
author = {Qianlong Wang and
Keyang Ding and
Xuan Luo and
Ruifeng Xu},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {2462--2466},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657932},
doi = {https://doi.org/10.1145/3626772.3657932}
}