MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender.
Bohao Wang|Feng Liu|Jiawei Chen|Xingyu Lou|Changwang Zhang|Jun Wang|Yuegang Sun|Yan Feng|Chun Chen|Can Wang
| Anthology ID: | DBLP:conf/sigir/WangL0LZ0SF0025 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1912-1922 |
| URL: | https://doi.org/10.1145/3726302.3730041 |
| DOI: | https://doi.org/10.1145/3726302.3730041 |
| DBLP: | conf/sigir/WangL0LZ0SF0025 |
| BibTeX: |
@inproceedings{wang-2025-msl,
author = {Bohao Wang and
Feng Liu and
Jiawei Chen and
Xingyu Lou and
Changwang Zhang and
Jun Wang and
Yuegang Sun and
Yan Feng and
Chun Chen and
Can Wang},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {1912--1922},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730041},
doi = {https://doi.org/10.1145/3726302.3730041}
}