Cover Image

NoteLLM-2: Multimodal Large Representation Models for Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chao, Zhang, Haoxin, Wu, Shiwei, Wu, Di, Xu, Tong, Zhao, Xiangyu, Gao, Yan, Hu, Yao, Chen, Enhong
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

NoteLLM: A Retrievable Large Language Model for Note Recommendation
by: Zhang, Chao, et al.
Published: (2024)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
by: Huang, Suyuan, et al.
Published: (2024)

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
by: Zhang, Chao, et al.
Published: (2025)

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
by: Zhao, Ziwei, et al.
Published: (2024)

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
by: Liu, Qidong, et al.
Published: (2024)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems
by: Zhu, Yiming, et al.
Published: (2026)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
by: Wang, Hao, et al.
Published: (2025)

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)

UniNote: A Unified Embedding Model for Multimodal Representation and Ranking
by: Zhao, Jinghan, et al.
Published: (2026)

Multimodal Recommendation via Self-Corrective Preference Alignmen
by: Guan, Yalong, et al.
Published: (2025)

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
by: Wang, Yu, et al.
Published: (2025)

MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
by: Wang, Yu, et al.
Published: (2026)

Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
by: Zhang, Luankang, et al.
Published: (2024)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
by: Huang, Chengkai, et al.
Published: (2025)

Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
by: Zhao, Zihuai, et al.
Published: (2025)

Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
by: Liu, Ziwei, et al.
Published: (2025)

RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
by: Wu, Xi, et al.
Published: (2025)

Learning Deep Tree-based Retriever for Efficient Recommendation: Theory and Method
by: Liu, Ze, et al.
Published: (2024)

Large-scale Benchmarks for Multimodal Recommendation with Ducho
by: Attimonelli, Matteo, et al.
Published: (2024)

Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)

Large Language Model Distilling Medication Recommendation Model
by: Liu, Qidong, et al.
Published: (2024)

ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
by: Luo, Pengfei, et al.
Published: (2025)

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation
by: Zhang, Shuo, et al.
Published: (2025)

GPRec: Bi-level User Modeling for Deep Recommenders
by: Wang, Yejing, et al.
Published: (2024)

Mixed-Precision Embeddings for Large-Scale Recommendation Models
by: Li, Shiwei, et al.
Published: (2024)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
by: Xu, Jian, et al.
Published: (2025)

Direct Preference Optimization for LLM-Enhanced Recommendation Systems
by: Sun, Chao, et al.
Published: (2024)

Contrastive Representation for Interactive Recommendation
by: Li, Jingyu, et al.
Published: (2024)

Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024)

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation
by: Zhang, Luankang, et al.
Published: (2026)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025)

Causality-Inspired Fair Representation Learning for Multimodal Recommendation
by: Chen, Weixin, et al.
Published: (2023)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)

Token-level Collaborative Alignment for LLM-based Generative Recommendation
by: Lin, Fake, et al.
Published: (2026)