Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Comments Accepted by SIGIR'25
期刊&会议
ACM SIGIR Conference on Research and Development in Information Retrieval · 会议 · Information Retrieval
Comments Accepted by SIGIR'25
Comments 11 pages, 3 figures. Accepted at SIGIR 2025
Comments Accepted in SIGIR 2025
Comments Accepted by SIGIR 2025
Comments This is a preprint. The definitive version was published in SIGIR 2025 ( https://doi.org/10.1145/3726302.3730328 ). Our extension to MovieLens-32M is available for researchers at https://uwaterlooir.github.io/datasets/ml-32m-extension
机构 * University of Electronic Science and Technology of China(电子科技大学) ; University of Amsterdam(阿姆斯特丹大学) ; Tongji University(同济大学)
Comments 11 pages. Accepted by SIGIR 2025
Journal ref Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
机构 * City University of Hong Kong(香港城市大学) ; Tencent Inc.(腾讯公司)
Comments accepted to SIGIR 2025
机构 * Singapore Management University(新加坡管理大学)
Comments Accepted by SIGIR 2025
机构 * Xi'an Jiaotong University \& City University of Hong Kong Xi'an China ; City University of Hong Kong Hong Kong China ; Jilin University Changchun China ; Tsinghua University Beijing China ; Nanyang Technological University Singapore Singapore ; Independent Researcher Beijing China ; Xi'an Jiaotong University Xi'an China ; Xi'an Jiaotong University \& City University of Hong Kong ; City University of Hong Kong ; Jilin University ; Tsinghua University ; Nanyang Technological University ; Independent Researcher ; Xi'an Jiaotong University
Comments accepted by SIGIR'25
Comments ACM SIGIR 2025. 10 pages
Comments Accepted to SIGIR 2025
Comments Accepted at SIGIR 2025 (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval)
Comments Accepted at SIGIR 2025 Perspective Paper Track
机构 * National University of Singapore(新加坡国立大学) ; PyroWis AI ; EvenUp
Comments SIGIR 2025
Comments This is a preprint of our paper accepted at SIGIR 2025
Comments This paper has been accepted at SIGIR 2025
机构 * KAIST(韩国科学技术院)
Comments SIGIR 2025
Comments Accepted at SIGIR 2025. 10 pages, 6 figures, 3 tables
Comments accepted by SIGIR'25
Comments 11 pages, 9 tables, 5 figures. Accepted at SIGIR'25
Comments 11 pages, 6 figures, 9 tables
Journal ref Proceedings of the 48th International ACM SIGIR, 2025
机构 * University of Waterloo(滑铁卢大学) ; Snowflake(Snowflake公司) ; Microsoft(微软公司)
Comments Accepted at SIGIR 2025 (short)
机构 * KAIST(韩国科学技术院) ; Hanyang University(翰林大学)
Comments SIGIR 2025 (Short)
机构 * University of Waterloo(滑铁卢大学) ; Snowflake ; Microsoft(微软)
Comments To appear in SIGIR 2025. Significant updates and revisions to arXiv:2411.09607
Comments SIGIR 2025, 9 pages
机构 * South China University of Technology School of Future Technology(南方科技大学未来技术学院) ; Amazon Amazon Web Service Shanghai China(亚马逊中国)
Comments Accepted by SIGIR 2025
机构 * University of Innsbruck(因斯布鲁克大学)
Comments Accepted at SIGIR 2025
Journal ref Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)
机构 * Peking University(北京大学) ; Huawei Cloud BU(华为云业务单元)
Comments Published as a conference paper at SIGIR 2025; 11 pages
机构 * University of Innsbruck(因斯布鲁克大学)
Comments Accepted at SIGIR 2025
Journal ref Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)