Awesome LLM4RS Papers Download - Awesome LLM4RS Papers Source code download

Awesome LLM4RS Papers

This is a paper list about Large Language Model-enhanced Recommender System. It also contains some related works.

Keywords: recommendation system, large language models

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Survey

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review, arxiv 2024, [paper].
A Survey on Large Language Models for Recommendation, arxiv 2023, [paper].
How Can Recommender Systems Benefit from Large Language Models: A Survey, arxiv 2023, [paper].
Recommender Systems in the Era of Large Language Models (LLMs), arxiv 2023, [paper].

Paper List

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System, arxiv 2023, [paper].
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation, arxiv 2023, [paper].
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation, RecSys 2023 Short Paper, [paper], [code].
Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models, arxiv 2023, [paper].
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach, arxiv 2023, [paper].
A First Look at LLM-Powered Generative News Recommendation, arxiv 2023, [paper].
Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT, arxiv 2023, [paper].
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models, arxiv 2023, [paper], [code].
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction, arxiv 2023, [paper].
Large Language Models are Zero-Shot Rankers for Recommender Systems, arxiv 2023, [paper], [code].
Leveraging Large Language Models in Conversational Recommender Systems, arxiv 2023, [paper].
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models, arxiv 2023, [paper], [code].
PALR: Personalization Aware LLMs for Recommendation, arxiv 2023, [paper].
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations, arxiv 2023, [paper].
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News, arxiv 2023, [paper].
Large Language Model for Generative Recommendation, arxiv 2023, [paper].
GenRec: Large Language Model for Generative Recommendation, arxiv 2023, [paper].
Generative Job Recommendations with Large Language Model, arxiv 2023, [paper].
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations, arxiv 2023, [paper].
LLM-Rec: Personalized Recommendation via Prompting Large Language Models, arxiv 2023, [paper].
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems, arxiv 2023, [paper].
LLMRec: Benchmarking Large Language Models on Recommendation Task, arxiv 2023, [paper],[code].
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging, arxiv 2023, [paper].
Prompt Distillation for Efficient LLM-based Recommendation, CIKM 2023, [paper], [code].
Large Language Models as Zero-Shot Conversational Recommenders, CIKM 2023, [paper], [code].
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation, arxiv 2023, [paper].
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging, arxiv 2023, [paper].
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking, arxiv 2023, [paper], [code].
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences, Recsys 2023, [paper].
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation, arxiv 2023, [paper].
Large Language Model Augmented Narrative Driven Recommendations, RecSys 2023 Short Paper, [paper].
Leveraging Large Language Models for Sequential Recommendation, RecSys 2023 LBR, [paper], [code].
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models, WSDM 2024, [paper], [code].
LLaRA: Aligning Large Language Models with Sequential Recommenders, arxiv 2023, [paper], [code].
LLM4Vis: Explainable Visualization Recommendation using ChatGPT, arxiv 2023, [paper], [code].
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation, arxiv 2023, [paper], [code].
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation, arxiv 2023, [paper], [code].
Representation Learning with Large Language Models for Recommendation, WWW 2024, [paper], [code].
Stealthy Attack on Large Language Model based Recommendation, arxiv 2024, [paper].
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation, arxiv 2024, [paper] [code]
Wukong: Towards a Scaling Law for Large-Scale Recommendation, arxiv 2024, [paper]
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation, arxiv 2024, [paper][code]
Harnessing Large Language Models for Text-Rich Sequential Recommendation, arxiv 2024, [paper]
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations, arxiv 2024, [paper][code]
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs, arxiv 2024, [paper]
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks, AAAI 2024, [paper].
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation, arxiv 2024, [paper].
Sequential Recommendation with Latent Relations based on Large Language Model, SIGIR 2024, [paper], [code].
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model, arxiv 2024, [paper][code]
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation, arxiv 2024, [paper]
Enhancing Content-based Recommendation via Large Language Model, arxiv 2024, [paper]
Aligning Large Language Models with Recommendation Knowledge, arxiv 2024, [paper]
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation, arxiv 2024, [paper]
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level, arxiv 2024, [paper].
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems, SIGIR 2024, [paper], [code].
Exact and Efficient Unlearning for Large Language Model-based Recommendation, arxiv 2024, [paper].
Large Language Models for Intent-Driven Session Recommendations, SIGIR 24, [paper].
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling, SIGIR 24, [paper].
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning, SIGIR 24, [paper].
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks, SIGIR 24, [paper].
Data-efficient Fine-tuning for LLM-based Recommendation, SIGIR 24, [paper].
Towards LLM-RecSys Alignment with Textual ID Learning , SIGIR 24, [paper].
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors, SIGIR 24, [paper].
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm, arxiv 2024, [paper]
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations, arxiv 2024, [paper].
Large Language Models for Next Point-of-Interest Recommendation, arxiv 2024, [paper].
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model, arxiv 2024, [paper].
Large Language Models as Conversational Movie Recommenders: A User Study, arxiv 2024, [paper].
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation, arxiv 2024, [paper].
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward, AAAI 2024, [paper].
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph, arxiv 2024, [paper].
RDRec: Rationale Distillation for LLM-based Recommendation, ACL 2024 Main (short), [paper], [code].
Reinforced Prompt Personalization for Recommendation with Large Language Models, arxiv 2024, [paper], [code]
Semantic Understanding and Data Imputation using Large Language Model to Accelerate Recommendation System, arxiv 2024, [paper]
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations, arxiv 2024, [paper]
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation, arxiv 2024, [paper]
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning, arxiv 2024, [paper]
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations, arxiv 2024, [paper]
Multi-Layer Ranking with Large Language Models for News Source Recommendation, arxiv 2024, [paper]
Large Language Models as Evaluators for Recommendation Explanations, arxiv 2024, [paper]
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation, arxiv 2024, [paper]
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation, arxiv 2024, [paper]
XRec: Large Language Models for Explainable Recommendation, arxiv 2024, [[paper]](XRec: Large Language Models for Explainable Recommendation), [code]
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item, arxiv 2024, [paper], [code]
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations, arxiv 2024, [paper]
News Recommendation with Category Description by a Large Language Model, arxiv 2024, [paper]
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation, arxiv 2024, [paper]
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation, arxiv 2024, [paper]
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations, arxiv 2024, [paper]
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation, arxiv 2024, [paper]
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models, arxiv 2024, [paper]
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems, Sigir 2024, [paper], [code]
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding, [paper]
Large Language Model Driven Recommendation, arxiv 2024, [paper]
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation, [paper]
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models, arxiv 2024, [paper]
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation, arxiv 2024, [paper]
Collaborative Cross-modal Fusion with Large Language Model for Recommendation, arxiv 2024, [paper]
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation, arxiv 2024, [paper]
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation, arxiv 2024, [paper]
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation, arxiv 2024, [paper]
Large Language Model Aided QoS Prediction for Service Recommendation, arxiv 2024, [paper]
Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations, arxiv 2024, [paper]
Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components Recommendation, arxiv 2024, [paper]
Reinforced Prompt Personalization for Recommendation with Large Language Models, arxiv 2024, [paper]
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding, [paper]
Large Language Model Driven Recommendation, arxiv 2024, [paper]
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation, [paper]
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models, arxiv 2024, [paper]
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation, arxiv 2024, [paper]
Collaborative Cross-modal Fusion with Large Language Model for Recommendation, arxiv 2024, [paper]
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation, arxiv 2024, [paper]
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation, arxiv 2024, [paper]
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation, arxiv 2024, [paper]
Large Language Model Aided QoS Prediction for Service Recommendation, arxiv 2024, [paper]
Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations, arxiv 2024, [paper]
Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components Recommendation, arxiv 2024, [paper]
Reinforced Prompt Personalization for Recommendation with Large Language Models, arxiv 2024, [paper]
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System, KDD 2024, [paper].
Item-Language Model for Conversational Recommendation, arxiv 2024, [paper]
A-LLMRec: Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System, KDD 2024, [paper], [code]
HierLLM: Hierarchical Large Language Model for Question Recommendation, arxiv 2024, [paper]
User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study, arxiv 2024, [paper]
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation, [paper]
Semantics Preserving Emoji Recommendation with Large Language Models, arxiv 2024, [paper]
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling, arxiv 2024, [paper]
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention, arxiv 2024, [paper]
A Prompting-Based Representation Learning Method for Recommendation with Large Language Models, arxiv 2024, [paper]
Large Language Model Empowered Embedding Generator for Sequential Recommendation, arxiv 2024, paper, [code]
Cognitive Biases in Large Language Models for News Recommendation, arxiv 2024, [paper]
Efficient Inference for Large Language Model-based Generative Recommendation, arxiv 2024, [paper]

Agent4Rec

When Large Language Model based Agent Meets User Behavior Analysis: A Novel User Simulation Paradigm, arxiv 2023, [paper].
RecMind: Large Language Model Powered Agent For Recommendation, arxiv 2023, [paper].
On Generative Agents in Recommendation, arxiv 2023, [paper], [code].
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems, arxiv 2023, [paper].
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations [link]
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems, arxiv 2024, [paper]
Lending Interaction Wings to Recommender Systems with Conversational Agents, NeurIPS 2023, [paper].
A Conceptual Framework for Conversational Search and Recommendation: Conceptualizing Agent-Human Interactions During the Conversational Search Process, arxiv 2024, [paper].

Knowledge Augmentation

Enhancing Recommender Systems with Large Language Model Reasoning Graphs, arxiv 2023, [paper].
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models, arxiv 2023, [paper], [code].
LLMRec: Large Language Models with Graph Augmentation for Recommendation, WSDM 2024, [paper], [code], [blog in Chinese].
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application, arxiv 2024, [paper].

Perspective

Language models as recommender systems: Evaluations and limitations, NeurIPS Workshop 2021, [paper].
Generative Recommendation: Towards Next-generation Recommender Paradigm, arxiv 2023, [paper].
Where to Go Next for Recommender Systems? ID- vs.Modality-based recommender models revisited, SIGIR 2023, [paper], [code]
Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights, arxiv 2023, [paper].
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights, arxiv 2023, [paper].
Is ChatGPT a Good Recommender? A Preliminary Study, arxiv 2023, [paper].
Evaluating ChatGPT as a Recommender System: A Rigorous Approach, arxiv 2023, [paper].
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences, RecSys 2023 Short Paper, [paper].
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation, RecSys 2023 Short Paper, [paper], [code].
Uncovering ChatGPT's Capabilities in Recommender Systems, RecSys 2023 LBR, [paper], [code].

Universal Representation Learning

Github Repository: "Universal_user_representations for recommendation" [link].

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation, SIGIR 2020, [paper], [code]
One Person, One Model, One World: Learning Continual User Representation without Forgetting, SIGIR 2021, [paper], [code]
ID-Agnostic User Behavior Pre-training for Sequential Recommendation, CCIR 2022, [paper].
Towards Universal Sequence Representation Learning for Recommender Systems, KDD 2022, [paper], [code].
TransRec: learning transferable recommendation from mixture-of-modality feedback, arxiv 2022, [paper].
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders, WWW 2023, [paper], [code].
One4all User Representation for Recommender Systems in E-commerce, arvix 2021, [paper].
Text Is All You Need: Learning Language Representations for Sequential Recommendation, KDD 2023, [paper].
Collaborative Large Language Model for Recommender Systems, arvix 2023, [paper], [code].

Generative Retrieval

A Simple Convolutional Generative Network for Next Item Recommendation, WSDM 2018/08, [paper] [code]
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation, WWW 2020/04, [paper] [code]
Recommender Systems with Generative Retrieval, arvix 2023, [paper].
Generative Sequential Recommendation with GPTRec, SIGIR 2023 workshop, [paper].
Enhanced Generative Recommendation via Content and Collaboration Integration, arvix 2024, [paper].

Pretrain Language Model and Prompt Learning

Survey paper: Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems, arxiv 2023, [paper].

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5), arvix 2022, [paper],[code].
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective, SIGIR 2022, [paper].
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems, arvix 2022, [paper].
Personalized Prompt for Sequential Recommendation, arvix 2022, [paper].
Knowledge Prompt-tuning for Sequential Recommendation, ACM MM 2023, [paper], [code].

Dataset

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation, arvix 2023, [paper], [KDD Cup 2023].
PixelRec: An Image Dataset for Benchmarking Recommender Systems with Raw Pixels, arvix 2023, [paper], [link].
NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation, arvix 2023, [paper], [link].
A Content-Driven Micro-Video Recommendation Dataset at Scale, arvix 2023, [paper], [link].
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation, arxiv, 2024[paper][link]
MealRec : A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness, arxiv 2024, [paper].
MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation, SIGIR 2024, [paper], [link].

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