:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tan, Chee Heng, Zheng, Huiying, Wang, Jing, Lin, Zhuoyi, Feng, Shaodi, Zhan, Huijing, Li, Xiaoli, Senthilnath, J.
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2512.12978
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models
by: Li, Ling, et al.
Published: (2023)

MDE: Modality Discrimination Enhancement for Multi-modal Recommendation
by: Zhou, Hang, et al.
Published: (2025)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
by: Cui, Yu, et al.
Published: (2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)

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

Recommender Systems in the Era of Large Language Models (LLMs)
by: Zhao, Zihuai, et al.
Published: (2023)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
by: Wang, Xiaolei, et al.
Published: (2023)

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
by: Lin, Xueting, et al.
Published: (2024)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
by: Huang, Chengkai, et al.
Published: (2025)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, 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)

Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
by: Zhao, Zihao, et al.
Published: (2025)

Unleashing the Power of Large Language Model for Denoising Recommendation
by: Wang, Shuyao, et al.
Published: (2025)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
by: Zhang, Weizhi, et al.
Published: (2025)

Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2024)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2025)

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

PerSRV: Personalized Sticker Retrieval with Vision-Language Model
by: Chee, Heng Er Metilda, et al.
Published: (2024)

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2025)

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
by: Kim, Sein, et al.
Published: (2025)

Harnessing Large Language Models for Text-Rich Sequential Recommendation
by: Zheng, Zhi, et al.
Published: (2024)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
by: Li, Yuhan, et al.
Published: (2025)

Efficient Inference for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

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

Exact and Efficient Unlearning for Large Language Model-based Recommendation
by: Hu, Zhiyu, et al.
Published: (2024)

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
by: Zheng, Bowen, et al.
Published: (2024)

Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model
by: Cao, Shiteng, et al.
Published: (2026)

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

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation
by: Luo, Sichun, et al.
Published: (2023)

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
by: Zheng, Bowen, et al.
Published: (2023)

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
by: Zhang, Yang, et al.
Published: (2023)

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

Synergizing Knowledge Graphs with Large Language Models: A Comprehensive Review and Future Prospects
by: Li, DaiFeng, et al.
Published: (2024)

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

Large Language Model Distilling Medication Recommendation Model
by: Liu, Qidong, et al.
Published: (2024)

Enhancing Sequential Recommendation with World Knowledge from Large Language Models
by: Dai, Tianjie, et al.
Published: (2025)

SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
by: Xiao, Wei, et al.
Published: (2025)

On Explaining Recommendations with Large Language Models: A Review
by: Said, Alan
Published: (2024)

Personalized Generation In Large Model Era: A Survey
by: Xu, Yiyan, et al.
Published: (2025)