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CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
v1v2v3 (latest)

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation

30 October 2023
Yang Zhang
Fuli Feng
Jizhi Zhang
Keqin Bao
Qifan Wang
Xiangnan He
ArXiv (abs)PDFHTML

Papers citing "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation"

50 / 50 papers shown
Title
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
Haoran Xin
Ying Sun
Chao Wang
Weijia Zhang
Hui Xiong
83
0
0
26 May 2025
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
Yu Xia
Rui Zhong
Hao Gu
Wei Yang
Chi Lu
Peng Jiang
Kun Gai
196
0
0
26 May 2025
HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
Chen Zhang
Bo Hu
Weidong Chen
Zhendong Mao
431
0
0
14 Apr 2025
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
Tong Zhang
72
0
0
06 Apr 2025
DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
Shiyi Yang
Zhibo Hu
Chen Wang
Tong Yu
Xiwei Xu
Xiwei Xu
Liming Zhu
Lina Yao
AAML
99
0
0
31 Mar 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning
Process-Supervised LLM Recommenders via Flow-guided Tuning
Chongming Gao
Mengyao Gao
Chenxiao Fan
Shuai Yuan
Wentao Shi
Xiangnan He
126
6
0
10 Mar 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
162
17
0
17 Jan 2025
Bridging Conversational and Collaborative Signals for Conversational Recommendation
Bridging Conversational and Collaborative Signals for Conversational Recommendation
Ahmad Bin Rabiah
Nafis Sadeq
Julian McAuley
171
0
0
09 Dec 2024
End-to-end Training for Recommendation with Language-based User Profiles
End-to-end Training for Recommendation with Language-based User Profiles
Zhaolin Gao
Joyce Zhou
Yijia Dai
Thorsten Joachims
AI4Ed
138
4
0
24 Oct 2024
Large Language Model Driven Recommendation
Large Language Model Driven Recommendation
Anton Korikov
Scott Sanner
Yashar Deldjoo
Zhankui He
Julian McAuley
...
René Vidal
M. Sathiamoorthy
Atoosa Kasrizadeh
Silvia Milano
Francesco Ricci
82
0
0
20 Aug 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
Xiaoyu Kong
Jiancan Wu
An Zhang
Leheng Sheng
Hui Lin
Xiang Wang
Xiangnan He
AI4TS
110
10
0
19 Aug 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Yunjia Xi
Hangyu Wang
Bo Chen
Jianghao Lin
Menghui Zhu
Wen Liu
Ruiming Tang
Zhewei Wei
Weinan Zhang
Yong Yu
OffRL
133
4
0
11 Aug 2024
Qwen2 Technical Report
Qwen2 Technical Report
An Yang
Baosong Yang
Binyuan Hui
Jian Xu
Bowen Yu
...
Yuqiong Liu
Zeyu Cui
Zhenru Zhang
Zhifang Guo
Zhi-Wei Fan
OSLMVLMMU
175
981
0
15 Jul 2024
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
In Gim
Guojun Chen
Seung-seob Lee
Nikhil Sarda
Anurag Khandelwal
Lin Zhong
84
87
0
07 Nov 2023
Language Modeling Is Compression
Language Modeling Is Compression
Grégoire Delétang
Anian Ruoss
Paul-Ambroise Duquenne
Elliot Catt
Tim Genewein
...
Wenliang Kevin Li
Matthew Aitchison
Laurent Orseau
Marcus Hutter
J. Veness
AI4CE
107
146
0
19 Sep 2023
NExT-GPT: Any-to-Any Multimodal LLM
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu
Hao Fei
Leigang Qu
Wei Ji
Tat-Seng Chua
MLLM
101
504
0
11 Sep 2023
Recommender AI Agent: Integrating Large Language Models for Interactive
  Recommendations
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Xu Huang
Jianxun Lian
Yuxuan Lei
Jing Yao
Defu Lian
Xing Xie
LLMAG
58
97
0
31 Aug 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
111
93
0
22 Aug 2023
A Large Language Model Enhanced Conversational Recommender System
A Large Language Model Enhanced Conversational Recommender System
Yue Feng
Shuchang Liu
Zhenghai Xue
Qingpeng Cai
Lantao Hu
Peng Jiang
Kun Gai
Fei Sun
LRM
84
43
0
11 Aug 2023
Large Language Models are Competitive Near Cold-start Recommenders for
  Language- and Item-based Preferences
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Scott Sanner
K. Balog
Filip Radlinski
Benjamin D. Wedin
Lucas Dixon
82
102
0
26 Jul 2023
Information Retrieval Meets Large Language Models: A Strategic Report
  from Chinese IR Community
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
Qingyao Ai
Ting Bai
Bo Zhao
Yi-Ju Chang
Jiawei Chen
...
Peng Zhang
Fan Zhang
Wei-na Zhang
Hao Fei
Xiaofei Zhu
78
62
0
19 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
138
342
0
05 Jul 2023
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs
  for Fact-aware Language Modeling
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
Lin F. Yang
Hongyang Chen
Zhao Li
Xiao Ding
Xindong Wu
KELM
94
91
0
20 Jun 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
135
219
0
09 Jun 2023
A Survey on Large Language Models for Recommendation
A Survey on Large Language Models for Recommendation
Likang Wu
Zhilan Zheng
Zhaopeng Qiu
Hao Wang
Hongchao Gu
...
Chen Zhu
Hengshu Zhu
Qi Liu
Hui Xiong
Enhong Chen
128
399
0
31 May 2023
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal
  Conversational Abilities
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
Dong Zhang
Shimin Li
Xin Zhang
Jun Zhan
Pengyu Wang
Yaqian Zhou
Xipeng Qiu
AuLLMMLLM
123
344
0
18 May 2023
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large
  Language Model Recommendation
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Jizhi Zhang
Keqin Bao
Yang Zhang
Wenjie Wang
Fuli Feng
Xiangnan He
LRMALM
74
166
0
12 May 2023
Recommendation as Instruction Following: A Large Language Model
  Empowered Recommendation Approach
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Junjie Zhang
Ruobing Xie
Yupeng Hou
Wayne Xin Zhao
Leyu Lin
Ji-Rong Wen
83
225
0
11 May 2023
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating
  Prediction
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
Wang-Cheng Kang
Jianmo Ni
Nikhil Mehta
M. Sathiamoorthy
Lichan Hong
Ed H. Chi
D. Cheng
56
123
0
10 May 2023
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large
  Language Models
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Deyao Zhu
Jun Chen
Xiaoqian Shen
Xiang Li
Mohamed Elhoseiny
VLMMLLM
165
2,069
0
20 Apr 2023
Prompt Learning for News Recommendation
Prompt Learning for News Recommendation
Zizhuo Zhang
Bang-wei Wang
AI4TS
63
66
0
11 Apr 2023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
RALMKELM
167
294
0
25 Mar 2023
Larger language models do in-context learning differently
Larger language models do in-context learning differently
Jerry W. Wei
Jason W. Wei
Yi Tay
Dustin Tran
Albert Webson
...
Xinyun Chen
Hanxiao Liu
Da Huang
Denny Zhou
Tengyu Ma
ReLMLRM
104
374
0
07 Mar 2023
PaLM-E: An Embodied Multimodal Language Model
PaLM-E: An Embodied Multimodal Language Model
Danny Driess
F. Xia
Mehdi S. M. Sajjadi
Corey Lynch
Aakanksha Chowdhery
...
Marc Toussaint
Klaus Greff
Andy Zeng
Igor Mordatch
Peter R. Florence
LM&Ro
120
1,667
0
06 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,437
0
27 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLMMLLM
429
4,642
0
30 Jan 2023
Large Language Models Encode Clinical Knowledge
Large Language Models Encode Clinical Knowledge
K. Singhal
Shekoofeh Azizi
T. Tu
S. S. Mahdavi
Jason W. Wei
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A. Rajkomar
Joelle Barral
Christopher Semturs
Alan Karthikesalingam
Vivek Natarajan
LM&MAELMAI4MH
158
2,362
0
26 Dec 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language
  Models
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh
Valts Blukis
Arsalan Mousavian
Ankit Goyal
Danfei Xu
Jonathan Tremblay
Dieter Fox
Jesse Thomason
Animesh Garg
LM&RoLLMAG
175
657
0
22 Sep 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLMAI4TS
99
486
0
24 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLMALM
886
13,207
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Concept-Aware Denoising Graph Neural Network for Micro-Video
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Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
Yiyu Liu
Qian Liu
Yu Tian
Changping Wang
Yanan Niu
Yang Song
Chenliang Li
88
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28 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
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OffRLAI4TSAI4CEALMAIMat
490
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17 Jun 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
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HAI
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Language Models are Few-Shot Learners
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Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
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LightGCN: Simplifying and Powering Graph Convolution Network for
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BERT: Pre-training of Deep Bidirectional Transformers for Language
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76
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Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
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