Imagen de Portada

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Weizhi, Yang, Liangwei, Yang, Wooseong, Zou, Henry Peng, Liu, Yuqing, Xu, Ke, Medya, Sourav, Yu, Philip S.
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval Artificial Intelligence Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Mixed Supervised Graph Contrastive Learning for Recommendation
por: Zhang, Weizhi, et al.
Publicado: (2024)

SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation
por: Zhang, Weizhi, et al.
Publicado: (2025)

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
por: Zhang, Weizhi, et al.
Publicado: (2024)

Taxonomy-Guided Zero-Shot Recommendations with LLMs
por: Liang, Yueqing, et al.
Publicado: (2024)

Adaptive Candidate Retrieval with Dynamic Knowledge Graph Construction for Cold-Start Recommendation
por: Yang, Wooseong, et al.
Publicado: (2025)

Training Large Recommendation Models via Graph-Language Token Alignment
por: Yang, Mingdai, et al.
Publicado: (2025)

Item Cluster-aware Prompt Learning for Session-based Recommendation
por: Yang, Wooseong, et al.
Publicado: (2024)

Large Language Models as Evaluators for Recommendation Explanations
por: Zhang, Xiaoyu, et al.
Publicado: (2024)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems
por: Cao, Yuwei, et al.
Publicado: (2024)

Enhancing Content-based Recommendation via Large Language Model
por: Xu, Wentao, et al.
Publicado: (2024)

Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A Survey
por: Verma, Sourav
Publicado: (2024)

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
por: Dang, Yizhou, et al.
Publicado: (2025)

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
por: Hu, Mengxuan, et al.
Publicado: (2024)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
por: Zhang, Weizhi, et al.
Publicado: (2025)

Scaling Laws for Many-Shot In-Context Learning with Self-Generated Annotations
por: Gu, Zhengyao, et al.
Publicado: (2025)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform
por: Zhang, Jizhi, et al.
Publicado: (2024)

Collaborative Semantic Alignment in Recommendation Systems
por: Wang, Chen, et al.
Publicado: (2023)

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems
por: Kusano, Genki, et al.
Publicado: (2024)

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

Knowledge Graph Context-Enhanced Diversified Recommendation
por: Liu, Xiaolong, et al.
Publicado: (2023)

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

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
por: Zheng, Kai, et al.
Publicado: (2024)

Large Language Models Make Sample-Efficient Recommender Systems
por: Lin, Jianghao, et al.
Publicado: (2024)

Sequential Recommendation with Latent Relations based on Large Language Model
por: Yang, Shenghao, et al.
Publicado: (2024)

A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look
por: Upadhyay, Shivani, et al.
Publicado: (2024)

No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success
por: Rauch, Lukas, et al.
Publicado: (2025)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
por: Yang, Shenghao, et al.
Publicado: (2024)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
por: Wang, Zhefan, et al.
Publicado: (2024)

Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation
por: Hui, Zheng, et al.
Publicado: (2025)

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

Item-Language Model for Conversational Recommendation
por: Yang, Li, et al.
Publicado: (2024)

Personalized Multi-task Training for Recommender System
por: Yang, Liangwei, et al.
Publicado: (2024)

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
por: Liu, Yutian, et al.
Publicado: (2025)

Collaborative Cross-modal Fusion with Large Language Model for Recommendation
por: Liu, Zhongzhou, et al.
Publicado: (2024)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
por: Wang, Xiaolei, et al.
Publicado: (2023)

Large Language Models are Zero-Shot Rankers for Recommender Systems
por: Hou, Yupeng, et al.
Publicado: (2023)

A Survey on Large Language Models in Multimodal Recommender Systems
por: Lopez-Avila, Alejo, et al.
Publicado: (2025)

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
por: Epure, Elena V., et al.
Publicado: (2025)

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

Multi-Layer Ranking with Large Language Models for News Source Recommendation
por: Zhang, Wenjia, et al.
Publicado: (2024)