Saved in:
| Main Authors: | Cheng, Hailing, Yang, Yafang, Tao, Hemeng, Zhang, Fengyu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.06589 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems
by: Cheng, Hailing
Published: (2026)
by: Cheng, Hailing
Published: (2026)
MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions
by: Li, Yuantong, et al.
Published: (2026)
by: Li, Yuantong, et al.
Published: (2026)
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
by: Ahn, Yongsu, et al.
Published: (2023)
by: Ahn, Yongsu, et al.
Published: (2023)
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
by: Bhattacharya, Moumita, et al.
Published: (2024)
by: Bhattacharya, Moumita, et al.
Published: (2024)
MDL: A Unified Multi-Distribution Learner in Large-scale Industrial Recommendation through Tokenization
by: Mu, Shanlei, et al.
Published: (2026)
by: Mu, Shanlei, et al.
Published: (2026)
Hgformer: Hyperbolic Graph Transformer for Recommendation
by: Yang, Xin, et al.
Published: (2024)
by: Yang, Xin, et al.
Published: (2024)
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
by: Chung, Chanyoung, et al.
Published: (2025)
by: Chung, Chanyoung, et al.
Published: (2025)
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
by: Deng, Shumin, et al.
Published: (2023)
by: Deng, Shumin, et al.
Published: (2023)
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
by: Zhang, Juzheng, et al.
Published: (2024)
by: Zhang, Juzheng, et al.
Published: (2024)
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)
by: Li, Chen, et al.
Published: (2023)
Graph Foundation Models for Recommendation: A Comprehensive Survey
by: Wu, Bin, et al.
Published: (2025)
by: Wu, Bin, et al.
Published: (2025)
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
by: Jiang, Weijie, et al.
Published: (2025)
by: Jiang, Weijie, et al.
Published: (2025)
Enhancing Recommendation with Denoising Auxiliary Task
by: Liu, Pengsheng, et al.
Published: (2024)
by: Liu, Pengsheng, et al.
Published: (2024)
Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Modeling Behavioral Intensity and Transitions for Generative Recommendation
by: Yang, Wenxuan, et al.
Published: (2026)
by: Yang, Wenxuan, et al.
Published: (2026)
GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
by: Lin, Zhijie, et al.
Published: (2025)
by: Lin, Zhijie, et al.
Published: (2025)
Item Cluster-aware Prompt Learning for Session-based Recommendation
by: Yang, Wooseong, et al.
Published: (2024)
by: Yang, Wooseong, et al.
Published: (2024)
BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations
by: Mishra, Ashirbad, et al.
Published: (2025)
by: Mishra, Ashirbad, et al.
Published: (2025)
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
by: Hou, Chaoqun, et al.
Published: (2024)
by: Hou, Chaoqun, et al.
Published: (2024)
The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
by: Zhang, Jiaheng, et al.
Published: (2025)
by: Zhang, Jiaheng, et al.
Published: (2025)
Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
by: Zhang, Shengjia, et al.
Published: (2026)
by: Zhang, Shengjia, et al.
Published: (2026)
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
by: Shao, Chu-Jen, et al.
Published: (2024)
by: Shao, Chu-Jen, et al.
Published: (2024)
IVF-TQ: Calibration-Free Streaming Vector Search via a Codebook-Free Residual Layer
by: Sharma, Tarun
Published: (2026)
by: Sharma, Tarun
Published: (2026)
Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
by: Zhu, Zhangchi, et al.
Published: (2024)
by: Zhu, Zhangchi, et al.
Published: (2024)
Sequential LLM Framework for Fashion Recommendation
by: Liu, Han, et al.
Published: (2024)
by: Liu, Han, et al.
Published: (2024)
Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System
by: Zhang, Jiang, et al.
Published: (2026)
by: Zhang, Jiang, et al.
Published: (2026)
Learning Unified User Quantized Tokenizers for User Representation
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)
by: Ji, Luo, et al.
Published: (2024)
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
by: Xia, Linhan, et al.
Published: (2024)
by: Xia, Linhan, et al.
Published: (2024)
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
by: Yang, Weiqin, et al.
Published: (2026)
by: Yang, Weiqin, et al.
Published: (2026)
Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2024)
by: Li, Peibo, et al.
Published: (2024)
CURE:Circuit-Aware Unlearning for LLM-based Recommendation
by: Chen, Ziheng, et al.
Published: (2026)
by: Chen, Ziheng, et al.
Published: (2026)
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)
by: Liu, Guangyi, et al.
Published: (2024)
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
by: Bai, Yang, et al.
Published: (2025)
by: Bai, Yang, et al.
Published: (2025)
RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis
by: Shi, Daqian, et al.
Published: (2026)
by: Shi, Daqian, et al.
Published: (2026)
A Survey on Popularity Bias in Recommender Systems
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)
by: Zhao, Chu, et al.
Published: (2024)
Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems
by: Yang, Weiqin, et al.
Published: (2025)
by: Yang, Weiqin, et al.
Published: (2025)
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework
by: Yang, Zhongqi, et al.
Published: (2024)
by: Yang, Zhongqi, et al.
Published: (2024)
Similar Items
-
Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems
by: Cheng, Hailing
Published: (2026) -
MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions
by: Li, Yuantong, et al.
Published: (2026) -
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
by: Ahn, Yongsu, et al.
Published: (2023) -
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
by: Bhattacharya, Moumita, et al.
Published: (2024) -
MDL: A Unified Multi-Distribution Learner in Large-scale Industrial Recommendation through Tokenization
by: Mu, Shanlei, et al.
Published: (2026)