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Learnable Item Tokenization for Generative Recommendation
International Conference on Information and Knowledge Management (CIKM), 2024
12 May 2024
Wenjie Wang
Honghui Bao
Xinyu Lin
J. Zhang
Yongqi Li
Fuli Feng
See-Kiong Ng
Tat-Seng Chua
Re-assign community
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Papers citing
"Learnable Item Tokenization for Generative Recommendation"
13 / 63 papers shown
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Bowen Zheng
Enze Liu
Zhongfu Chen
Zhongrui Ma
Yue Wang
Wayne Xin Zhao
Ji-Rong Wen
459
3
0
06 Apr 2025
Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics
Jing Zhu
Mingxuan Ju
Yozen Liu
Danai Koutra
Neil Shah
Tong Zhao
213
3
0
30 Mar 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Chongming Gao
Mengyao Gao
Chenxiao Fan
Shuai Yuan
Wentao Shi
Xiangnan He
408
18
0
10 Mar 2025
Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
Qijiong Liu
Jieming Zhu
Lu Fan
Kun Wang
Hengchang Hu
Wei Guo
Yong Liu
Xiao-Ming Wu
272
3
0
07 Mar 2025
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Yue Yang
Zhi Ji
Zhiyu Li
Yongqian Li
Zhonglin Mo
...
Kai Chen
Zijian Zhang
Jie Li
Shuanglong Li
Liu Liu
288
36
0
04 Mar 2025
From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
Jian Jia
Jingtong Gao
Ben Xue
Junhao Wang
Qingpeng Cai
Quan Chen
Xiangyu Zhao
Peng Jiang
Kun Gai
OffRL
342
6
0
18 Feb 2025
Order-agnostic Identifier for Large Language Model-based Generative Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Xinyu Lin
Haihan Shi
Wenjie Wang
Fuli Feng
Qifan Wang
See-Kiong Ng
Tat-Seng Chua
333
23
0
15 Feb 2025
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
ACM Transactions on Recommender Systems (TORS), 2025
Rong Shan
Jiachen Zhu
Jianghao Lin
Chenxu Zhu
Bo Chen
Ruiming Tang
Yong Yu
Weinan Zhang
218
0
0
23 Jan 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
454
25
0
17 Jan 2025
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
Yang Zhang
Juntao You
Yimeng Bai
Jizhi Zhang
Keqin Bao
Wenjie Wang
Tat-Seng Chua
CML
213
13
0
30 Oct 2024
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
Jun Yin
Zhengxin Zeng
Mingzheng Li
Hao Yan
Chaozhuo Li
...
Denvy Deng
Feng Sun
Qi Zhang
Shirui Pan
Senzhang Wang
137
7
0
14 Sep 2024
Generative Recommender with End-to-End Learnable Item Tokenization
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Enze Liu
Bowen Zheng
Cheng Ling
Lantao Hu
Han Li
Wayne Xin Zhao
305
23
0
09 Sep 2024
Stealthy Attack on Large Language Model based Recommendation
Jinghao Zhang
Yuting Liu
Qiang Liu
Shu Wu
Guibing Guo
Liang Wang
227
23
0
18 Feb 2024
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