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. 2308.11131
  4. Cited By
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

22 August 2023
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
    LRM
ArXivPDFHTML

Papers citing "ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation"

41 / 41 papers shown
Title
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
Kaidong Feng
Zhu Sun
Jie Yang
Hui Fang
Xinghua Qu
Wei Liu
48
0
0
24 Apr 2025
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
Chengkai Huang
Hongtao Huang
Tong Yu
Kaige Xie
Junda Wu
Shuai Zhang
Julian McAuley
Dietmar Jannach
Lina Yao
LRM
AI4CE
24
0
0
23 Apr 2025
CHIME: A Compressive Framework for Holistic Interest Modeling
CHIME: A Compressive Framework for Holistic Interest Modeling
Yong Bai
Rui Xiang
Kaiyuan Li
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
28
0
0
07 Apr 2025
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
Bohao Wang
Feng Liu
Jiawei Chen
Xingyu Lou
Changwang Zhang
Jun Wang
Yuegang Sun
Yan Feng
Cheng Chen
C. Wang
32
1
0
05 Apr 2025
RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
Sichun Luo
Jian Xu
Xiaotian Zhang
Linrong Wang
Sicong Liu
Hanxu Hou
Linqi Song
RALM
3DV
LRM
84
0
0
26 Mar 2025
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
Yu Zhang
Shutong Qiao
Jiaqi Zhang
Tzu-Heng Lin
Chen Gao
Yongqian Li
LM&Ro
LM&MA
90
1
0
07 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
39
0
0
02 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
79
18
0
17 Jan 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
Huixue Zhou
Hengrui Gu
Xi Liu
Kaixiong Zhou
Mingfu Liang
...
Wen-Yen Chen
Yiping Han
Bo Long
Rui Zhang
Tianlong Chen
3DV
48
1
0
04 Jan 2025
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
Chengbing Wang
Yuhang Zhang
Fengbin Zhu
Jizhi Zhang
Tianhao Shi
Fuli Feng
RALM
31
0
0
23 Dec 2024
VisualLens: Personalization through Visual History
VisualLens: Personalization through Visual History
Wang Zhu
Deqing Fu
Kai Sun
Y. Lu
Zhaojiang Lin
...
Kanika Narang
Mustafa Canim
Yue Liu
Anuj Kumar
Xin Luna Dong
AI4TS
116
0
0
25 Nov 2024
GOT4Rec: Graph of Thoughts for Sequential Recommendation
GOT4Rec: Graph of Thoughts for Sequential Recommendation
Zewen Long
Liang Wang
Shu Wu
Qiang Liu
Liang Wang
97
1
0
22 Nov 2024
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan
Jingtao Ding
Chonghua Han
Depeng Jin
Yong Li
Yong Li
AI4TS
AI4CE
84
2
0
20 Nov 2024
ReasoningRec: Bridging Personalized Recommendations and
  Human-Interpretable Explanations through LLM Reasoning
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
Millennium Bismay
Xiangjue Dong
James Caverlee
LRM
39
3
0
30 Oct 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Ziqiang Cui
Yunpeng Weng
Xing Tang
Fuyuan Lyu
Dugang Liu
Xiuqiang He
Chen Ma
41
3
0
16 Oct 2024
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation
  with Collaborative Information
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information
Xinyu Zhang
Linmei Hu
Luhao Zhang
Dandan Song
Heyan Huang
Liqiang Nie
65
0
0
03 Sep 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
Wei Liu
Ruiming Tang
Zhewei Wei
Wenbo Zhang
Yong Yu
OffRL
92
4
0
11 Aug 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
3
0
07 Aug 2024
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large
  Language Model
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
Lingyue Fu
Hao Guan
Kounianhua Du
J. Lin
Wei Xia
Weinan Zhang
Ruiming Tang
Yasheng Wang
Yong Yu
AI4Ed
KELM
RALM
39
4
0
01 Jul 2024
When Search Engine Services meet Large Language Models: Visions and
  Challenges
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong
Jiang Bian
Yuchen Li
Xuhong Li
Jundong Li
Shuaiqiang Wang
Dawei Yin
Sumi Helal
53
28
0
28 Jun 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
48
3
0
19 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
34
24
0
13 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
35
5
0
04 Jun 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
37
5
0
25 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
Knowledge Adaptation from Large Language Model to Recommendation for
  Practical Industrial Application
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Jian Jia
Yipei Wang
Yan Li
Honggang Chen
Xuehan Bai
...
Jian Liang
Quan Chen
Han Li
Peng Jiang
Kun Gai
KELM
43
7
0
07 May 2024
Can Small Language Models be Good Reasoners for Sequential
  Recommendation?
Can Small Language Models be Good Reasoners for Sequential Recommendation?
Yuling Wang
Changxin Tian
Binbin Hu
Yanhua Yu
Ziqi Liu
Qing Cui
Jun Zhou
Liang Pang
Xiao Wang
LRM
45
24
0
07 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
36
9
0
06 Mar 2024
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based
  Sequential Recommendation
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation
Yu Wang
Zhiwei Liu
Jianguo Zhang
Weiran Yao
Shelby Heinecke
Philip S. Yu
AI4TS
LRM
29
34
0
18 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and
  Future Directions
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan
Meng Jiang
25
8
0
11 Dec 2023
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
60
30
0
13 Oct 2023
AgentCF: Collaborative Learning with Autonomous Language Agents for
  Recommender Systems
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
Junjie Zhang
Yupeng Hou
Ruobing Xie
Wenqi Sun
Julian McAuley
Wayne Xin Zhao
Leyu Lin
Ji-Rong Wen
LLMAG
22
67
0
13 Oct 2023
CodeApex: A Bilingual Programming Evaluation Benchmark for Large
  Language Models
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
Lingyue Fu
Huacan Chai
Shuang Luo
Kounianhua Du
Weiming Zhang
...
Jingkuan Wang
Siyuan Qi
Kangning Zhang
Weinan Zhang
Yong Yu
ELM
16
9
0
05 Sep 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
32
71
0
03 Sep 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
30
196
0
09 Jun 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
27
201
0
11 May 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
RALM
KELM
129
265
0
25 Mar 2023
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
68
124
0
22 Oct 2022
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Guangyi Liu
Jie-jin Yang
Ledell Yu Wu
LMTD
65
34
0
15 Sep 2022
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
124
270
0
05 Oct 2021
1