Saved in:
| Main Author: | Sun, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.18683 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025)
by: Sun, Bangcheng, et al.
Published: (2025)
FIRE: Faithful Interpretable Recommendation Explanations
by: Sani, S. M. F., et al.
Published: (2025)
by: Sani, S. M. F., et al.
Published: (2025)
Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
by: Zhu, Jiajie, et al.
Published: (2025)
by: Zhu, Jiajie, et al.
Published: (2025)
RAC: Retrieval-Augmented Clarification for Faithful Conversational Search
by: Kebir, Ahmed Rayane, et al.
Published: (2026)
by: Kebir, Ahmed Rayane, et al.
Published: (2026)
Task-Aware Retrieval Augmentation for Dynamic Recommendation
by: Tao, Zhen, et al.
Published: (2025)
by: Tao, Zhen, et al.
Published: (2025)
EviSnap: Faithful Evidence-Cited Explanations for Cold-Start Cross-Domain Recommendation
by: Dai, Yingjun, et al.
Published: (2026)
by: Dai, Yingjun, et al.
Published: (2026)
Retrieval Augmented Conversational Recommendation with Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2026)
by: Yue, Zhenrui, et al.
Published: (2026)
Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites
by: Lu, Sijin, et al.
Published: (2024)
by: Lu, Sijin, et al.
Published: (2024)
RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
by: Luo, Sichun, et al.
Published: (2025)
by: Luo, Sichun, et al.
Published: (2025)
KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation
by: Meng, Zeyuan, et al.
Published: (2025)
by: Meng, Zeyuan, et al.
Published: (2025)
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)
by: Wang, Shijie, et al.
Published: (2025)
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
by: Wang, Nengbo, et al.
Published: (2025)
by: Wang, Nengbo, et al.
Published: (2025)
Fast and Faithful: Real-Time Verification for Long-Document Retrieval-Augmented Generation Systems
by: Liu, Xunzhuo, et al.
Published: (2026)
by: Liu, Xunzhuo, et al.
Published: (2026)
Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation
by: Li, Zhuhang, et al.
Published: (2024)
by: Li, Zhuhang, et al.
Published: (2024)
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems
by: Tran, Thi Ngoc Trang, et al.
Published: (2024)
by: Tran, Thi Ngoc Trang, et al.
Published: (2024)
Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, et al.
Published: (2024)
Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations
by: Wang, Yuyan, et al.
Published: (2025)
by: Wang, Yuyan, et al.
Published: (2025)
Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation
by: Liang, Jiahao, et al.
Published: (2025)
by: Liang, Jiahao, et al.
Published: (2025)
Topic-Centric Explanations for News Recommendation
by: Liu, Dairui, et al.
Published: (2023)
by: Liu, Dairui, et al.
Published: (2023)
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
Shifting from Ranking to Set Selection for Retrieval Augmented Generation
by: Lee, Dahyun, et al.
Published: (2025)
by: Lee, Dahyun, et al.
Published: (2025)
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)
by: Cui, Ziqiang, et al.
Published: (2025)
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)
by: Ning, Liangbo, et al.
Published: (2025)
RAGE Against the Machine: Retrieval-Augmented LLM Explanations
by: Rorseth, Joel, et al.
Published: (2024)
by: Rorseth, Joel, et al.
Published: (2024)
RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender
by: Granata, Francesco, et al.
Published: (2026)
by: Granata, Francesco, et al.
Published: (2026)
Federated Recommendation via Hybrid Retrieval Augmented Generation
by: Zeng, Huimin, et al.
Published: (2024)
by: Zeng, Huimin, et al.
Published: (2024)
Adaptive Diffusion-based Augmentation for Recommendation
by: Li, Na, et al.
Published: (2026)
by: Li, Na, et al.
Published: (2026)
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information
by: Zhao, Yurou, et al.
Published: (2024)
by: Zhao, Yurou, et al.
Published: (2024)
Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation
by: Zhang, Ze Yu, et al.
Published: (2025)
by: Zhang, Ze Yu, et al.
Published: (2025)
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation
by: Banerjee, Ashmi, et al.
Published: (2024)
by: Banerjee, Ashmi, et al.
Published: (2024)
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
by: Kieu, Hai-Dang, et al.
Published: (2024)
by: Kieu, Hai-Dang, et al.
Published: (2024)
Logic Rules as Explanations for Legal Case Retrieval
by: Sun, Zhongxiang, et al.
Published: (2024)
by: Sun, Zhongxiang, et al.
Published: (2024)
Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
by: Zhang, Haichao, et al.
Published: (2025)
by: Zhang, Haichao, et al.
Published: (2025)
A Counterfactual Explanation Framework for Retrieval Models
by: Chandna, Bhavik, et al.
Published: (2024)
by: Chandna, Bhavik, et al.
Published: (2024)
Enhancing Recommendation Explanations through User-Centric Refinement
by: Zhang, Jingsen, et al.
Published: (2025)
by: Zhang, Jingsen, et al.
Published: (2025)
Plausible Counterfactual Explanations of Recommendations
by: Černý, Jakub, et al.
Published: (2025)
by: Černý, Jakub, et al.
Published: (2025)
Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2026)
by: Wang, Shijie, et al.
Published: (2026)
Similar Items
-
Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025) -
FIRE: Faithful Interpretable Recommendation Explanations
by: Sani, S. M. F., et al.
Published: (2025) -
Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
by: Zhu, Jiajie, et al.
Published: (2025) -
RAC: Retrieval-Augmented Clarification for Faithful Conversational Search
by: Kebir, Ahmed Rayane, et al.
Published: (2026) -
Task-Aware Retrieval Augmentation for Dynamic Recommendation
by: Tao, Zhen, et al.
Published: (2025)