Knowledge-Decoupled Synergetic Learning: An MLLM based Collaborative Approach to Few-shot Multimodal Dialogue Intention Recognition.
Bin Chen|Yu Zhang|Hongfei Ye|Yizi Huang|Hongyang Chen
| Anthology ID: | DBLP:conf/www/ChenZYHC25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3044-3048 |
| URL: | https://doi.org/10.1145/3701716.3718372 |
| DOI: | https://doi.org/10.1145/3701716.3718372 |
| DBLP: | conf/www/ChenZYHC25 |
| BibTeX: |
@inproceedings{chen-2025-knowledgedecoupled,
author = {Bin Chen and
Yu Zhang and
Hongfei Ye and
Yizi Huang and
Hongyang Chen},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Knowledge-Decoupled Synergetic Learning: An MLLM based Collaborative Approach to Few-shot Multimodal Dialogue Intention Recognition}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {3044--3048},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3718372},
doi = {https://doi.org/10.1145/3701716.3718372}
}