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VIP5: Towards Multimodal Foundation Models for Recommendation

VIP5: Towards Multimodal Foundation Models for Recommendation

23 May 2023
Shijie Geng
Juntao Tan
Shuchang Liu
Zuohui Fu
Yongfeng Zhang
ArXivPDFHTML

Papers citing "VIP5: Towards Multimodal Foundation Models for Recommendation"

45 / 45 papers shown
Title
RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation
RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation
Run Ling
W. Wang
Yuting Liu
G. Guo
Linying Jiang
Xingwei Wang
DiffM
45
0
0
03 May 2025
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
Junchen Fu
Xuri Ge
Xin Xin
Haitao Yu
Yue Feng
Alexandros Karatzoglou
Ioannis Arapakis
Joemon M. Jose
OffRL
21
3
0
21 Apr 2025
BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
Kaiyuan Li
Rui Xiang
Yong Bai
Yongxiang Tang
Yanhua Cheng
Xialong Liu
Peng Jiang
Kun Gai
29
0
0
09 Apr 2025
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
Jianling Wang
Yifan Liu
Yinghao Sun
Xuejian Ma
Yueqi Wang
...
Onkar Dalal
Ed Chi
Lichan Hong
Ningren Han
Haokai Lu
24
0
0
07 Apr 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
74
19
0
17 Jan 2025
Break the ID-Language Barrier: An Adaption Framework for Sequential
  Recommendation
Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation
Xiaohan Yu
Li Zhang
Xin Zhao
Yue Wang
61
2
0
27 Nov 2024
Generative Timelines for Instructed Visual Assembly
Generative Timelines for Instructed Visual Assembly
Alejandro Pardo
Jui-hsien Wang
Bernard Ghanem
Josef Sivic
Bryan C. Russell
Fabian Caba Heilbron
VGen
62
0
0
19 Nov 2024
Efficient and Effective Adaptation of Multimodal Foundation Models in
  Sequential Recommendation
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Junchen Fu
Xuri Ge
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
Kaiwen Zheng
Yongxin Ni
J. Jose
23
0
0
05 Nov 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Luyi Ma
Xiaohan Li
Zezhong Fan
Kai Zhao
Jianpeng Xu
Praveen Kanumala
Kaushiki Nag
Sushant Kumar
Sushant Kumar
Kannan Achan
35
4
0
16 Oct 2024
Lifelong Personalized Low-Rank Adaptation of Large Language Models for
  Recommendation
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
Jiachen Zhu
Jianghao Lin
Xinyi Dai
Bo Chen
Rong Shan
Jieming Zhu
Ruiming Tang
Yong Yu
Weinan Zhang
OffRL
43
1
0
07 Aug 2024
Modality-Balanced Learning for Multimedia Recommendation
Modality-Balanced Learning for Multimedia Recommendation
Jinghao Zhang
Guofan Liu
Qiang Liu
Shu Wu
Liang Wang
19
5
0
26 Jul 2024
On Softmax Direct Preference Optimization for Recommendation
On Softmax Direct Preference Optimization for Recommendation
Yuxin Chen
Junfei Tan
An Zhang
Zhengyi Yang
Leheng Sheng
Enzhi Zhang
Xiang Wang
Tat-Seng Chua
29
23
0
13 Jun 2024
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
Yuhao Xu
Xinqi Liu
Keyu Duan
Yi Fang
Yu-Neng Chuang
Daochen Zha
Qiaoyu Tan
AI4CE
20
1
0
12 Jun 2024
Large Language Models Make Sample-Efficient Recommender Systems
Large Language Models Make Sample-Efficient Recommender Systems
Jianghao Lin
Xinyi Dai
Rong Shan
Bo Chen
Ruiming Tang
Yong Yu
Weinan Zhang
30
5
0
04 Jun 2024
A Survey of Latent Factor Models in Recommender Systems
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRM
BDL
24
0
0
28 May 2024
LLMs for User Interest Exploration in Large-scale Recommendation Systems
LLMs for User Interest Exploration in Large-scale Recommendation Systems
Jianling Wang
Haokai Lu
Yifan Liu
He Ma
Yueqi Wang
...
Ningren Han
Shuchao Bi
Lexi Baugher
Ed H. Chi
Minmin Chen
32
5
0
25 May 2024
RecGPT: Generative Pre-training for Text-based Recommendation
RecGPT: Generative Pre-training for Text-based Recommendation
Hoang Ngo
Dat Quoc Nguyen
LRM
27
5
0
21 May 2024
DisCo: Towards Harmonious Disentanglement and Collaboration between
  Tabular and Semantic Space for Recommendation
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
Kounianhua Du
Jizheng Chen
Jianghao Lin
Yunjia Xi
Hangyu Wang
Xinyi Dai
Bo Chen
Ruiming Tang
Weinan Zhang
27
7
0
20 May 2024
A Survey of Generative Search and Recommendation in the Era of Large
  Language Models
A Survey of Generative Search and Recommendation in the Era of Large Language Models
Yongqi Li
Xinyu Lin
Wenjie Wang
Fuli Feng
Liang Pang
Wenjie Li
Liqiang Nie
Xiangnan He
Tat-Seng Chua
3DV
LRM
46
7
0
25 Apr 2024
FineRec:Exploring Fine-grained Sequential Recommendation
FineRec:Exploring Fine-grained Sequential Recommendation
Xiaokun Zhang
Bo Xu
Youlin Wu
Yuan Zhong
Hongfei Lin
Fenglong Ma
17
7
0
19 Apr 2024
PMG : Personalized Multimodal Generation with Large Language Models
PMG : Personalized Multimodal Generation with Large Language Models
Xiao-Na Shen
Rui Zhang
Xiaoyan Zhao
Jieming Zhu
Xi Xiao
24
13
0
07 Apr 2024
IISAN: Efficiently Adapting Multimodal Representation for Sequential
  Recommendation with Decoupled PEFT
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
Junchen Fu
Xuri Ge
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
Jie Wang
Joemon M. Jose
30
17
0
02 Apr 2024
IDGenRec: LLM-RecSys Alignment with Textual ID Learning
IDGenRec: LLM-RecSys Alignment with Textual ID Learning
Juntao Tan
Shuyuan Xu
Wenyue Hua
Yingqiang Ge
Zelong Li
Yongfeng Zhang
41
22
0
27 Mar 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language
  Models for Generative Recommendation and Beyond
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
Tianxin Wei
Bowen Jin
Ruirui Li
Hansi Zeng
Zhengyang Wang
...
Qingyu Yin
Hanqing Lu
Suhang Wang
Jingrui He
Xianfeng Tang
33
15
0
15 Mar 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang
Liang Luo
Yuxin Chen
Jade Nie
Xi Liu
...
Guna Lakshminarayanan
Ellie Wen
Jongsoo Park
Maxim Naumov
Wenlin Chen
ALM
19
18
0
04 Mar 2024
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
Shutong Qiao
Chen Gao
Junhao Wen
Wei Zhou
Qun Luo
Peixuan Chen
Yong Li
19
1
0
21 Feb 2024
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models
Yuqing Liu
Yu Wang
Lichao Sun
Philip S. Yu
12
6
0
13 Feb 2024
RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based
  Recommendation
RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation
Xiaohan Yu
Li Zhang
Xin Zhao
Yue Wang
Zhongrui Ma
36
6
0
07 Feb 2024
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting
  Language Models to CTR Prediction
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin
Bo Chen
Hangyu Wang
Yunjia Xi
Yanru Qu
Xinyi Dai
Kangning Zhang
Ruiming Tang
Yong Yu
Weinan Zhang
53
30
0
13 Oct 2023
Large Language Models for Generative Recommendation: A Survey and
  Visionary Discussions
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Lei Li
Yongfeng Zhang
Dugang Liu
L. Chen
3DV
LRM
27
67
0
03 Sep 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
21
79
0
22 Aug 2023
Language is All a Graph Needs
Language is All a Graph Needs
Ruosong Ye
Caiqi Zhang
Runhui Wang
Shuyuan Xu
Yongfeng Zhang
AI4CE
45
150
0
14 Aug 2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin
Xinyi Dai
Yunjia Xi
Weiwen Liu
Bo Chen
...
Chenxu Zhu
Huifeng Guo
Yong Yu
Ruiming Tang
Weinan Zhang
LRM
22
195
0
09 Jun 2023
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware
  Attention
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
Shijie Geng
Jianbo Yuan
Yu Tian
Yuxiao Chen
Yongfeng Zhang
CLIP
VLM
41
44
0
06 Mar 2023
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
93
41
0
26 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Pix2seq: A Language Modeling Framework for Object Detection
Pix2seq: A Language Modeling Framework for Object Detection
Ting-Li Chen
Saurabh Saxena
Lala Li
David J. Fleet
Geoffrey E. Hinton
MLLM
ViT
VLM
233
341
0
22 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia Recommendation
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
56
181
0
19 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Unifying Vision-and-Language Tasks via Text Generation
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho
Jie Lei
Hao Tan
Mohit Bansal
MLLM
249
518
0
04 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
1