Uncertainty-Aware Explainable Recommendation with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Yicui, Chen, Hao, Lin, Chingsheng, Huang, Guo, Hu, Jinrong, Guo, Hui, Kong, Bin, Hu, Shu, Wu, Xi, Wang, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
by: Yang, Hang, et al.
Published: (2024)
by: Yang, Hang, et al.
Published: (2024)
XRec: Large Language Models for Explainable Recommendation
by: Ma, Qiyao, et al.
Published: (2024)
by: Ma, Qiyao, et al.
Published: (2024)
Stealthy Attack on Large Language Model based Recommendation
by: Zhang, Jinghao, et al.
Published: (2024)
by: Zhang, Jinghao, et al.
Published: (2024)
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
by: Li, Yuhan, et al.
Published: (2025)
by: Li, Yuhan, et al.
Published: (2025)
Explainable Recommender with Geometric Information Bottleneck
by: Yan, Hanqi, et al.
Published: (2023)
by: Yan, Hanqi, et al.
Published: (2023)
Large Language Models are Zero-Shot Rankers for Recommender Systems
by: Hou, Yupeng, et al.
Published: (2023)
by: Hou, Yupeng, et al.
Published: (2023)
Collaborative Cross-modal Fusion with Large Language Model for Recommendation
by: Liu, Zhongzhou, et al.
Published: (2024)
by: Liu, Zhongzhou, et al.
Published: (2024)
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
by: Zheng, Kai, et al.
Published: (2024)
by: Zheng, Kai, et al.
Published: (2024)
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
by: Wang, Xiaolei, et al.
Published: (2023)
by: Wang, Xiaolei, et al.
Published: (2023)
RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
by: Wang, Hui, et al.
Published: (2026)
by: Wang, Hui, et al.
Published: (2026)
Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
by: Liu, Qijiong, et al.
Published: (2025)
by: Liu, Qijiong, et al.
Published: (2025)
Multi-Layer Ranking with Large Language Models for News Source Recommendation
by: Zhang, Wenjia, et al.
Published: (2024)
by: Zhang, Wenjia, et al.
Published: (2024)
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
by: Zhao, Hongke, et al.
Published: (2024)
by: Zhao, Hongke, et al.
Published: (2024)
Large Language Models Make Sample-Efficient Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024)
by: Lin, Jianghao, et al.
Published: (2024)
Integrating Large Language Models with Graphical Session-Based Recommendation
by: Guo, Naicheng, et al.
Published: (2024)
by: Guo, Naicheng, et al.
Published: (2024)
Efficient Inference for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2024)
by: Lin, Xinyu, et al.
Published: (2024)
Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
by: Li, Guanrong, et al.
Published: (2025)
by: Li, Guanrong, et al.
Published: (2025)
Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, 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)
by: Li, Yongqi, et al.
Published: (2024)
RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
by: Xu, Jian, et al.
Published: (2025)
by: Xu, Jian, et al.
Published: (2025)
Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
by: Cao, Bin, et al.
Published: (2026)
by: Cao, Bin, et al.
Published: (2026)
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
by: Yang, Ching-Wen, et al.
Published: (2024)
by: Yang, Ching-Wen, et al.
Published: (2024)
Can Large Language Models Detect Rumors on Social Media?
by: Liu, Qiang, et al.
Published: (2024)
by: Liu, Qiang, et al.
Published: (2024)
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Uncertainty Quantification and Decomposition for LLM-based Recommendation
by: Kweon, Wonbin, et al.
Published: (2025)
by: Kweon, Wonbin, et al.
Published: (2025)
HaS: Accelerating RAG through Homology-Aware Speculative Retrieval
by: Peng, Peng, et al.
Published: (2026)
by: Peng, Peng, et al.
Published: (2026)
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)
by: Xu, Wujiang, et al.
Published: (2024)
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
by: Lin, Jiacheng, et al.
Published: (2025)
by: Lin, Jiacheng, et al.
Published: (2025)
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
by: Zou, Jie, et al.
Published: (2025)
by: Zou, Jie, et al.
Published: (2025)
Climber: Toward Efficient Scaling Laws for Large Recommendation Models
by: Xu, Songpei, et al.
Published: (2025)
by: Xu, Songpei, et al.
Published: (2025)
Enhancing Content-based Recommendation via Large Language Model
by: Xu, Wentao, et al.
Published: (2024)
by: Xu, Wentao, et al.
Published: (2024)
A Survey on Large Language Models in Multimodal Recommender Systems
by: Lopez-Avila, Alejo, et al.
Published: (2025)
by: Lopez-Avila, Alejo, et al.
Published: (2025)
Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
by: Epure, Elena V., et al.
Published: (2025)
by: Epure, Elena V., et al.
Published: (2025)
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
by: Ma, Xueguang, et al.
Published: (2025)
by: Ma, Xueguang, et al.
Published: (2025)
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
by: Zhang, Chiyu, et al.
Published: (2024)
by: Zhang, Chiyu, et al.
Published: (2024)
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
by: Ren, Ruiyang, et al.
Published: (2024)
by: Ren, Ruiyang, et al.
Published: (2024)
Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)
by: Lee, Sunkyung, et al.
Published: (2025)
Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
by: Huang, Yiming, et al.
Published: (2025)
by: Huang, Yiming, et al.
Published: (2025)
LLM4Rec: Large Language Models for Multimodal Generative Recommendation with Causal Debiasing
by: Ma, Bo, et al.
Published: (2025)
by: Ma, Bo, et al.
Published: (2025)
Similar Items
-
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
by: Yang, Hang, et al.
Published: (2024) -
XRec: Large Language Models for Explainable Recommendation
by: Ma, Qiyao, et al.
Published: (2024) -
Stealthy Attack on Large Language Model based Recommendation
by: Zhang, Jinghao, et al.
Published: (2024) -
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
by: Li, Yuhan, et al.
Published: (2025) -
Explainable Recommender with Geometric Information Bottleneck
by: Yan, Hanqi, et al.
Published: (2023)