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

• 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, https://arxiv.org/abs/2310.15950v.org/abs/2310.15950), [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]
• RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm, 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].

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, https://arxiv.org/abs/2210.12316v.org/abs/2210.12316), [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, https://arxiv.org/pdf/1906.04473.pdf.org/pdf/1906.04473.pdf) [code]
• Recommender Systems with Generative Retrieval, arvix 2023, [paper].
• Generative Sequential Recommendation with GPTRec, SIGIR 2023 workshop, [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].