Cover Image

The 2nd Workshop on Recommendation with Generative Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Wenjie, Zhang, Yang, Lin, Xinyu, Feng, Fuli, Liu, Weiwen, Liu, Yong, Zhao, Xiangyu, Zhao, Wayne Xin, Song, Yang, He, Xiangnan
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)

Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023)

Diffusion Models for Generative Outfit Recommendation
by: Xu, Yiyan, et al.
Published: (2024)

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

Generative Multi-Target Cross-Domain Recommendation
by: Jin, Jinqiu, et al.
Published: (2025)

Proactive Recommendation with Iterative Preference Guidance
by: Bi, Shuxian, et al.
Published: (2024)

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

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
by: Fang, Yi, et al.
Published: (2025)

Mitigating Spurious Correlations for Self-supervised Recommendation
by: Lin, Xinyu, et al.
Published: (2022)

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

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
by: Zhang, Yang, et al.
Published: (2024)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
by: Bao, Keqin, et al.
Published: (2024)

Uncertainty-aware Generative Recommendation
by: Fan, Chenxiao, et al.
Published: (2026)

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

Mitigating Hidden Confounding Effects for Causal Recommendation
by: Zhu, Xinyuan, et al.
Published: (2022)

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

The 2nd Workshop on Human-Centered Recommender Systems
by: Zhang, Kaike, et al.
Published: (2025)

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning
by: Zheng, Shanle, et al.
Published: (2025)

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
by: Liu, Chang, et al.
Published: (2025)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
by: Shi, Wentao, et al.
Published: (2024)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
by: Shi, Tianhao, et al.
Published: (2023)

Personalized Image Generation with Large Multimodal Models
by: Xu, Yiyan, et al.
Published: (2024)

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

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
by: Shi, Tianhao, et al.
Published: (2024)

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

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
by: Lin, Xinyu, et al.
Published: (2026)

Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
by: Gong, Yaxin, et al.
Published: (2026)

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

Learnable Item Tokenization for Generative Recommendation
by: Wang, Wenjie, et al.
Published: (2024)

Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)

Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024)

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

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

Verifiable Reasoning for LLM-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2026)

Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation
by: Ding, Hongxun, et al.
Published: (2026)

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

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
by: Cai, Shihao, et al.
Published: (2024)

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
by: Bai, Yimeng, et al.
Published: (2025)

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