:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Luo, Yunze, Jiang, Yinjie, Chen, Gaode, Zhang, Xinghua, Zhang, Jun, Liang, Jian, Bian, Kaigui
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2508.07595
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
by: Luo, Yunze, et al.
Published: (2024)

Representation Quantization for Collaborative Filtering Augmentation
by: Luo, Yunze, et al.
Published: (2025)

Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)

Pre-train and Fine-tune: Recommenders as Large Models
by: Jiang, Zhenhao, et al.
Published: (2025)

A Unified Framework for Cross-Domain Recommendation
by: Cao, Jiangxia, et al.
Published: (2024)

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
by: Wang, Chen, et al.
Published: (2024)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
by: Luo, Sichun, et al.
Published: (2025)

Fine-tuning Multimodal Large Language Models for Product Bundling
by: Liu, Xiaohao, et al.
Published: (2024)

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
by: Xi, Yunjia, et al.
Published: (2025)

Data-efficient Fine-tuning for LLM-based Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
by: Xu, Lanling, et al.
Published: (2024)

Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)

Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
by: Li, Jin, et al.
Published: (2026)

UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning
by: Zhang, Jiaming, et al.
Published: (2025)

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
by: Wang, Hangyu, et al.
Published: (2024)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
by: Wang, Yejing, et al.
Published: (2025)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
by: Bao, Keqin, et al.
Published: (2023)

A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
by: Zhang, Yu, et al.
Published: (2025)

Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
by: Jia, Jian, et al.
Published: (2024)

S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation
by: Li, Xiaodong, et al.
Published: (2026)

Fine-grained Semantics Integration for Large Language Model-based Recommendation
by: Feng, Jiawei, et al.
Published: (2026)

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
by: Tang, Zuoli, et al.
Published: (2023)

Coherency Improved Explainable Recommendation via Large Language Model
by: Liu, Shijie, et al.
Published: (2025)

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
by: Meng, Changping, et al.
Published: (2025)

Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation
by: Luo, Sichun, et al.
Published: (2024)

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
by: Shan, Rong, et al.
Published: (2025)

Harnessing Large Language Models for Group POI Recommendations
by: Long, Jing, et al.
Published: (2024)

Collaborative Large Language Model for Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2023)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
by: Xu, Jian, et al.
Published: (2025)

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
by: Liu, Dairui, et al.
Published: (2023)

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
by: Wang, Bohao, et al.
Published: (2026)

BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
by: Zhiyuli, Aakas, et al.
Published: (2023)

Item-side Fairness of Large Language Model-based Recommendation System
by: Jiang, Meng, et al.
Published: (2024)

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
by: Zhang, Bin, et al.
Published: (2026)

Sequence-aware Large Language Models for Explainable Recommendation
by: Zhang, Gangyi, et al.
Published: (2026)

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation
by: Liu, Hao, et al.
Published: (2024)

NoteLLM: A Retrievable Large Language Model for Note Recommendation
by: Zhang, Chao, et al.
Published: (2024)

Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)