Cover Image

LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Teng, Shen, Chenglei, Yu, Weijie, Nie, Shen, Li, Chongxuan, Zhang, Xiao, He, Ming, Han, Yan, Xu, Jun
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
by: Shen, Chenglei, et al.
Published: (2026)

Paragon: Parameter Generation for Controllable Multi-Task Recommendation
by: Shen, Chenglei, et al.
Published: (2024)

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
by: You, Zebin, et al.
Published: (2025)

Generative Next POI Recommendation with Semantic ID
by: Wang, Dongsheng, et al.
Published: (2025)

Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search
by: Qin, Weicong, et al.
Published: (2025)

MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation
by: Qin, Weicong, et al.
Published: (2024)

End-to-End Semantic ID Generation for Generative Advertisement Recommendation
by: Jiang, Jie, et al.
Published: (2026)

Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
by: Shi, Teng, et al.
Published: (2025)

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

Bridging Search and Recommendation through Latent Cross Reasoning
by: Shi, Teng, et al.
Published: (2025)

Differentiable Semantic ID for Generative Recommendation
by: Fu, Junchen, et al.
Published: (2026)

LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model
by: You, Zebin, et al.
Published: (2026)

MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation
by: Gao, Mengyao, et al.
Published: (2025)

A Survey of Controllable Learning: Methods and Applications in Information Retrieval
by: Shen, Chenglei, et al.
Published: (2024)

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
by: Zhu, Fengqi, et al.
Published: (2025)

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
by: Qu, Haohao, et al.
Published: (2024)

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation
by: Hou, Yupeng, et al.
Published: (2026)

MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
by: Qin, Weicong, et al.
Published: (2025)

Generating Long Semantic IDs in Parallel for Recommendation
by: Hou, Yupeng, et al.
Published: (2025)

Q-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal Recommendation
by: Huang, Haofeng, et al.
Published: (2025)

AesRec: A Dataset for Aesthetics-Aligned Clothing Outfit Recommendation
by: Ye, Wenxin, et al.
Published: (2026)

CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation
by: Wei, Tianxin, et al.
Published: (2025)

SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
by: Yao, Yining, et al.
Published: (2025)

Unified Generative Search and Recommendation
by: Shi, Teng, et al.
Published: (2025)

UniRec: Bridging the Expressive Gap between Generative and Discriminative Recommendation via Chain-of-Attribute
by: Wang, Ziliang, et al.
Published: (2026)

How Reliable Are Semantic-ID Tokenizer Comparisons in Generative Recommendation?
by: Zhang, Qian, et al.
Published: (2026)

OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
by: Dong, Yue, et al.
Published: (2025)

Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)

DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
by: Jiang, Zhenhao, et al.
Published: (2024)

MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
by: Kong, Xiaoyu, et al.
Published: (2025)

RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation
by: Pei, Haolei, et al.
Published: (2024)

Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)

CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
by: Zhou, Sashuai, et al.
Published: (2025)

LLMDiRec: LLM-Enhanced Intent Diffusion for Sequential Recommendation
by: Chen, Bo-Chian, et al.
Published: (2025)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
by: Li, Wuchao, et al.
Published: (2024)

AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
by: Zhang, Kaike, et al.
Published: (2025)

RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
by: Wang, Hui, et al.
Published: (2026)

RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation
by: Yu, Xiaohan, et al.
Published: (2024)