ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.19488
  4. Cited By
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 / 52 papers shown
Title
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
Chang Liu
Yimeng Bai
Xiaoyan Zhao
Yang Zhang
Fuli Feng
Wenge Rong
28
0
0
18 Jun 2025
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
Zijie Lin
Yang Zhang
Xiaoyan Zhao
Fengbin Zhu
Fuli Feng
Tat-Seng Chua
13
0
0
16 Jun 2025
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
Sunkyung Lee
Minjin Choi
Eunseong Choi
Hye-young Kim
Jongwuk Lee
VLM
52
0
0
02 Jun 2025
Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning
Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning
Qihuang Zhong
Liang Ding
Fei Liao
Juhua Liu
Bo Du
Dacheng Tao
31
0
0
28 May 2025
Fine-grained List-wise Alignment for Generative Medication Recommendation
Fine-grained List-wise Alignment for Generative Medication Recommendation
Chenxiao Fan
Chongming Gao
Wentao Shi
Yaxin Gong
Zihao Zhao
Fuli Feng
LM&MA
52
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
212
0
0
26 May 2025
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
98
0
0
26 May 2025
ThinkRec: Thinking-based recommendation via LLM
ThinkRec: Thinking-based recommendation via LLM
Qihang Yu
Kairui Fu
Shengyu Zhang
Zheqi Lv
Fan Wu
Fei Wu
LRM
38
0
0
21 May 2025
Geography-Aware Large Language Models for Next POI Recommendation
Geography-Aware Large Language Models for Next POI Recommendation
Zhao Liu
Wei Liu
Huajie Zhu
Jianxing Yu
Jian Yin
Wang-Chien Lee
Shun Wang
52
0
0
18 May 2025
Generative Recommendation with Continuous-Token Diffusion
Generative Recommendation with Continuous-Token Diffusion
Haohao Qu
Wenqi Fan
Shanru Lin
DiffM
181
1
0
16 Apr 2025
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Zihan Wang
Jinghao Lin
Xiaocui Yang
Yongkang Liu
Shi Feng
Daling Wang
Yanzhe Zhang
55
0
0
14 Apr 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
450
0
0
14 Apr 2025
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials
Chu Zhao
Enneng Yang
Yuting Liu
Jianzhe Zhao
G. Guo
Xingwei Wang
76
0
0
07 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
85
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
Xinshu Li
Chen Wang
Tong Yu
Xiwei Xu
Liming Zhu
Lina Yao
AAML
103
0
0
31 Mar 2025
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
J. Huang
Shijie Wang
Liang-bo Ning
Wenqi Fan
Shuaiqiang Wang
Dawei Yin
Qing Li
122
2
0
12 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
130
7
0
10 Mar 2025
Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems
Kibum Kim
Sein Kim
Hongseok Kang
Jiwan Kim
Heewoong Noh
Yeonjun In
Kanghoon Yoon
Jinoh Oh
Chanyoung Park
105
0
0
08 Mar 2025
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
Yilun Qiu
Xiaoyan Zhao
Yang Zhang
Yimeng Bai
Wenjie Wang
Hong Cheng
Fuli Feng
Tat-Seng Chua
136
3
0
04 Mar 2025
Towards An Efficient LLM Training Paradigm for CTR Prediction
Towards An Efficient LLM Training Paradigm for CTR Prediction
Allen Lin
Renqin Cai
Yun He
Hanchao Yu
Jing Qian
Rui Li
Qifan Wang
James Caverlee
94
0
0
02 Mar 2025
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
Minjie Hong
Yan Xia
Ziyi Wang
Jieming Zhu
Ye Wang
...
Xiaoda Yang
Quanyu Dai
Zhenhua Dong
Zhimeng Zhang
Zhou Zhao
83
4
0
21 Feb 2025
A Survey on LLM-powered Agents for Recommender Systems
A Survey on LLM-powered Agents for Recommender Systems
Qiyao Peng
Hongtao Liu
Hua Huang
Qing Yang
Minglai Shao
LLMAGLRM
153
5
0
14 Feb 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
183
18
0
17 Jan 2025
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage
  Alignment and Behavioral Semantic Tokenization
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
Guanghan Li
Xun Zhang
Yufei Zhang
Yifan Yin
Guojun Yin
Wei Lin
112
5
0
18 Dec 2024
Towards Action Hijacking of Large Language Model-based Agent
Towards Action Hijacking of Large Language Model-based Agent
Yuyang Zhang
Kangjie Chen
Xudong Jiang
Yuxiang Sun
Run Wang
Lina Wang
Tianwei Zhang
LLMAGAAML
178
3
0
14 Dec 2024
Bridging Conversational and Collaborative Signals for Conversational Recommendation
Bridging Conversational and Collaborative Signals for Conversational Recommendation
Ahmad Bin Rabiah
Nafis Sadeq
Julian McAuley
186
0
0
09 Dec 2024
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized
  Recommendation
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
65
5
0
30 Oct 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
153
4
0
24 Oct 2024
CoRA: Collaborative Information Perception by Large Language Model's
  Weights for Recommendation
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
Yuting Liu
Jinghao Zhang
Yizhou Dang
Yuliang Liang
Qiang Liu
Guibing Guo
Jianzhe Zhao
Xingwei Wang
59
3
0
20 Aug 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
116
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
152
10
0
19 Aug 2024
EasyRec: Simple yet Effective Language Models for Recommendation
EasyRec: Simple yet Effective Language Models for Recommendation
Xubin Ren
Chao Huang
SyDa
47
5
0
16 Aug 2024
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking
  for Sequential Recommendation
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation
Tongyoung Kim
Soojin Yoon
SeongKu Kang
Jinyoung Yeo
Dongha Lee
RALM
76
4
0
16 Aug 2024
Collaborative Cross-modal Fusion with Large Language Model for
  Recommendation
Collaborative Cross-modal Fusion with Large Language Model for Recommendation
Zhongzhou Liu
Hao Zhang
Kuicai Dong
Yuan Fang
158
6
0
16 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
156
4
0
11 Aug 2024
Enhancing Collaborative Semantics of Language Model-Driven
  Recommendations via Graph-Aware Learning
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
Zhong Guan
Likang Wu
Hongke Zhao
Ming He
Jianpin Fan
87
3
0
19 Jun 2024
TokenRec: Learning to Tokenize ID for LLM-based Generative
  Recommendation
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
Haohao Qu
Wenqi Fan
Zihuai Zhao
Qing Li
88
20
0
15 Jun 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
115
35
0
13 Jun 2024
Generative Explore-Exploit: Training-free Optimization of Generative
  Recommender Systems using LLM Optimizers
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers
Lutfi Kerem Senel
B. Fetahu
Davis Yoshida
Zhiyu Zoey Chen
Giuseppe Castellucci
Nikhita Vedula
J. Choi
S. Malmasi
76
6
0
07 Jun 2024
Item-Language Model for Conversational Recommendation
Item-Language Model for Conversational Recommendation
Li Yang
Anushya Subbiah
Hardik Patel
Judith Yue Li
Yanwei Song
Reza Mirghaderi
Vikram Aggarwal
Qifan Wang
KELM
94
5
0
05 Jun 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELMCLLKELM
116
5
0
28 Apr 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
Chak Tou Leong
Xinyu Lin
Wenjie Wang
Fuli Feng
Liang Pang
Wenjie Li
Liqiang Nie
Xiangnan He
Tat-Seng Chua
3DVLRM
96
9
0
25 Apr 2024
A Review of Modern Recommender Systems Using Generative Models
  (Gen-RecSys)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Yashar Deldjoo
Zhankui He
Julian McAuley
Anton Korikov
Scott Sanner
Arnau Ramisa
René Vidal
M. Sathiamoorthy
Atoosa Kasirzadeh
Silvia Milano
VLM
150
60
0
31 Mar 2024
Towards Graph Foundation Models for Personalization
Towards Graph Foundation Models for Personalization
Andreas Damianou
Francesco Fabbri
Paul Gigioli
Marco De Nadai
Alice Wang
Enrico Palumbo
M. Lalmas
AI4CE
71
8
0
12 Mar 2024
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve
  Long-tail Recommendation
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
Junda Wu
Cheng-Chun Chang
Tong Yu
Zhankui He
Jianing Wang
Yupeng Hou
Julian McAuley
LRMRALM
90
27
0
11 Mar 2024
Towards Efficient and Effective Unlearning of Large Language Models for
  Recommendation
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
Hangyu Wang
Jianghao Lin
Bo Chen
Yang Yang
Ruiming Tang
Weinan Zhang
Yong Yu
MU
100
11
0
06 Mar 2024
Integrating Large Language Models with Graphical Session-Based
  Recommendation
Integrating Large Language Models with Graphical Session-Based Recommendation
Naicheng Guo
Hongwei Cheng
Qianqiao Liang
Lin Chen
Bing Han
97
5
0
26 Feb 2024
Stealthy Attack on Large Language Model based Recommendation
Stealthy Attack on Large Language Model based Recommendation
Jinghao Zhang
Yuting Liu
Qiang Liu
Shu Wu
Guibing Guo
Liang Wang
85
14
0
18 Feb 2024
Exploring the Impact of Large Language Models on Recommender Systems: An
  Extensive Review
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
A. Vats
Vinija Jain
Rahul Raja
Aman Chadha
LRM
99
14
0
11 Feb 2024
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
187
224
0
09 Jun 2023
12
Next