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} }