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A Survey on Large Language Models for Recommendation
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A Survey on Large Language Models for Recommendation

31 May 2023
Likang Wu
Zhilan Zheng
Zhaopeng Qiu
Hao Wang
Hongchao Gu
Tingjia Shen
Chuan Qin
Chen Zhu
Hengshu Zhu
Qi Liu
Hui Xiong
Enhong Chen
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Papers citing "A Survey on Large Language Models for Recommendation"

50 / 75 papers shown
Title
GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
Y. X. R. Wang
Shengyu Zhou
Jinyu Lu
Qidong Liu
Xinhang Li
...
Feng Li
Pengjie Wang
Jian Xu
Bo Zheng
Xiangyu Zhao
26
0
0
19 Jun 2025
Multi-Interest Recommendation: A Survey
Multi-Interest Recommendation: A Survey
Zihao Li
Qiang Chen
Lixin Zou
Aixin Sun
Chenliang Li
AI4TS
26
0
0
18 Jun 2025
LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking
LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking
Vahid Azizi
Fatemeh Koochaki
AI4TS
22
0
0
09 Jun 2025
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
Jiang Zhang
Sumit Kumar
Wei Chang
Yubo Wang
Feng Zhang
Weize Mao
Hanchao Yu
Aashu Singh
Min Li
Qifan Wang
59
0
0
06 Jun 2025
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
Tiehua Mei
Hengrui Chen
Peng Yu
Jiaqing Liang
Deqing Yang
101
0
0
04 Jun 2025
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
Bo Peng
Zhiheng Wang
Heyang Gong
Chaochao Lu
80
0
0
03 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
69
0
0
02 Jun 2025
What LLMs Miss in Recommendations: Bridging the Gap with Retrieval-Augmented Collaborative Signals
What LLMs Miss in Recommendations: Bridging the Gap with Retrieval-Augmented Collaborative Signals
Shahrooz Pouryousef
Ali Montazeralghaem
53
0
0
27 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
101
0
0
26 May 2025
GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models
GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models
Tingjia Shen
Hao Wang
Chuan Qin
Ruijun Sun
Yang Song
Defu Lian
Hengshu Zhu
Enhong Chen
57
0
0
26 May 2025
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
Yu Shang
Peijie Liu
Yuwei Yan
Zijing Wu
Leheng Sheng
...
An Zhang
Fengli Xu
Yu Wang
M. Zhang
Yong Li
LLMAG
105
1
0
26 May 2025
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
Kefan Wang
Hao Wang
Wei Guo
Yong Liu
Jianghao Lin
Defu Lian
Enhong Chen
72
0
0
25 May 2025
Enhancing CTR Prediction with De-correlated Expert Networks
Enhancing CTR Prediction with De-correlated Expert Networks
Jiancheng Wang
Mingjia Yin
Junwei Pan
Ximei Wang
Hao Wang
Enhong Chen
74
0
0
23 May 2025
Tuning Language Models for Robust Prediction of Diverse User Behaviors
Tuning Language Models for Robust Prediction of Diverse User Behaviors
Fanjin Meng
Jingtao Ding
Jiahui Gong
Chen Yang
Hong Chen
Zuojian Wang
Haisheng Lu
Yong Li
214
1
0
23 May 2025
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
Bowen Zheng
Xiaolei Wang
Enze Liu
Xi Wang
Lu Hongyu
Yu Chen
Wayne Xin Zhao
Ji-Rong Wen
125
0
0
22 May 2025
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
Shiyin Tan
Dongyuan Li
Renhe Jiang
Zhen Wang
Xingtong Yu
Manabu Okumura
CML
167
0
0
20 May 2025
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition
Bo Yue
Shuqi Guo
Kaiyu Hu
Chujiao Wang
Benyou Wang
Kui Jia
Guiliang Liu
LRM
113
0
0
16 May 2025
Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms
Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms
Suleyman Ozdel
Can Sarpkaya
Efe Bozkir
Hong Gao
Enkelejda Kasneci
72
0
0
12 May 2025
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
Md Aminul Islam
Ahmed Sayeed Faruk
152
0
0
08 May 2025
Safeguard-by-Development: A Privacy-Enhanced Development Paradigm for Multi-Agent Collaboration Systems
Safeguard-by-Development: A Privacy-Enhanced Development Paradigm for Multi-Agent Collaboration Systems
Jian Cui
Zichuan Li
Luyi Xing
Xiaojing Liao
72
0
0
07 May 2025
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation
Yuying Zhao
Xiaodong Yang
Huiyuan Chen
Xiran Fan
Yu Wang
Y. Cai
Hanyu Wang
76
1
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
67
4
0
21 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
475
0
0
14 Apr 2025
Slow Thinking for Sequential Recommendation
Slow Thinking for Sequential Recommendation
Junjie Zhang
Beichen Zhang
Wenqi Sun
Hongyu Lu
Wayne Xin Zhao
Yu Chen
Ji-Rong Wen
OffRLLRM
109
1
0
13 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
114
0
0
07 Apr 2025
Cognitive Debiasing Large Language Models for Decision-Making
Cognitive Debiasing Large Language Models for Decision-Making
Yougang Lyu
Shijie Ren
Yue Feng
Zihan Wang
Zhongfu Chen
Zhaochun Ren
Maarten de Rijke
270
0
0
05 Apr 2025
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
Liangbo Ning
Ziran Liang
Zhuohang Jiang
Haohao Qu
Yujuan Ding
...
Xiao Wei
Shanru Lin
Hui Liu
Philip S. Yu
Qing Li
LLMAGLM&Ro
196
9
0
30 Mar 2025
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
Chuan Qin
Xiusi Chen
Chengrui Wang
Pengmin Wu
Xi Chen
...
Han Wu
Chong Li
Yuanchun Zhou
H. Xiong
Hengshu Zhu
ELM
91
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
139
7
0
10 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&RoLM&MA
273
3
0
07 Mar 2025
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders
Qijiong Liu
Jieming Zhu
Lu Fan
Kun Wang
Hengchang Hu
Wei Guo
Yong Liu
Xiao-Ming Wu
98
0
0
07 Mar 2025
Personalized Generation In Large Model Era: A Survey
Personalized Generation In Large Model Era: A Survey
Yiyan Xu
Jinghao Zhang
Alireza Salemi
Xinting Hu
Wenjie Wang
Fuli Feng
Hamed Zamani
Xiangnan He
Tat-Seng Chua
3DV
197
8
0
04 Mar 2025
NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence
NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence
Saman Khamesian
Asiful Arefeen
Stephanie M. Carpenter
Hassan Ghasemzadeh
107
1
0
28 Feb 2025
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering
Liu Liu
Shilei Liu
Yujin Yuan
Yanzhe Zhang
Bencheng Yan
...
Di Wang
Wenbo Su
Pengjie Wang
Jian Xu
Bo Zheng
121
1
0
26 Feb 2025
A Universal Framework for Compressing Embeddings in CTR Prediction
A Universal Framework for Compressing Embeddings in CTR Prediction
Kefan Wang
Hao Wang
Kenan Song
Wei Guo
Kai Cheng
Hao Sun
Yixiao Liu
Defu Lian
Enhong Chen
150
2
0
24 Feb 2025
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection
Tanmay Parekh
Yuxuan Dong
Lucas Bandarkar
Artin Kim
I-Hung Hsu
Kai-Wei Chang
Nanyun Peng
88
0
0
24 Feb 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo
Tommaso Di Noia
182
24
0
24 Feb 2025
Taxonomy-Guided Zero-Shot Recommendations with LLMs
Taxonomy-Guided Zero-Shot Recommendations with LLMs
Yueqing Liang
Liangwei Yang
Chen Wang
Xiongxiao Xu
Philip S. Yu
Kai Shu
136
8
0
21 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
126
8
0
18 Feb 2025
Unleashing the Power of Large Language Model for Denoising Recommendation
Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang
Zhi Zheng
Yongduo Sui
Hui Xiong
192
0
0
13 Feb 2025
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Rui Cai
Chao Wang
Qianyi Cai
Dazhong Shen
Hui Xiong
RALM
134
0
0
06 Feb 2025
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
FuXi-α\alphaα: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
Yufei Ye
Wei Guo
Jin Yao Chin
Hao Wang
Hong Zhu
...
Yuyang Ye
Yixiao Liu
Ruiming Tang
Defu Lian
Enhong Chen
152
2
0
05 Feb 2025
Large Language Model Distilling Medication Recommendation Model
Large Language Model Distilling Medication Recommendation Model
Qidong Liu
Xian Wu
Xiangyu Zhao
Yuanshao Zhu
Zijian Zhang
Feng Tian
Yefeng Zheng
LM&MA
146
22
0
28 Jan 2025
Revisiting Language Models in Neural News Recommender Systems
Revisiting Language Models in Neural News Recommender Systems
Yuyue Zhao
Jin Huang
David Vos
Maarten de Rijke
KELM
409
0
0
20 Jan 2025
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
Jiaxing Wu
Lin Ning
Luyang Liu
Harrison Lee
Neo Wu
Chao Wang
Sushant Prakash
S. O’Banion
Bradley Green
Jun Xie
197
1
0
20 Jan 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
235
3
0
17 Jan 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
185
18
0
17 Jan 2025
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Weiwei Sun
Lingyong Yan
Xinyu Ma
Shuaiqiang Wang
Fajie Yuan
Zhumin Chen
D. Yin
Zhaochun Ren
RALMALMELMLRMLM&MA
236
315
0
31 Dec 2024
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Qiang Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Xu
Feng Tian
147
0
0
31 Dec 2024
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
Chengbing Wang
Yanzhe Zhang
Fengbin Zhu
Jizhi Zhang
Tianhao Shi
Fuli Feng
RALM
98
2
0
23 Dec 2024
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