Cover Image

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Haowei, Zhao, Yushang, Min, Sitao, Su, Bo, Yao, Chao, Xu, Wei
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs
by: Zhao, Yushang, et al.
Published: (2025)

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion
by: Yang, Haowei, et al.
Published: (2025)

User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)

LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks
by: Ma, Luyi, et al.
Published: (2026)

PLHF: Prompt Optimization with Few-Shot Human Feedback
by: Yang, Chun-Pai, et al.
Published: (2025)

LLM Reasoning for Cold-Start Item Recommendation
by: Li, Shijun, et al.
Published: (2025)

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems
by: Zhao, Yushang, et al.
Published: (2025)

MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender System
by: Cho, Seung Hwan, et al.
Published: (2025)

CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
by: Liu, Xuran, et al.
Published: (2025)

Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem
by: Hafnar, Davor, et al.
Published: (2024)

Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation
by: Bui, Tuan-Nghia, et al.
Published: (2025)

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following
by: Yang, Yuxiao, et al.
Published: (2024)

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

MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
by: Bhattacharjee, Indronil, et al.
Published: (2026)

Enhancing LLM-Based Text Classification in Political Science: Automatic Prompt Optimization and Dynamic Exemplar Selection for Few-Shot Learning
by: Liu, Menglin, et al.
Published: (2024)

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks
by: Zhao, Yushang, et al.
Published: (2025)

Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
by: Zhao, Yushang, et al.
Published: (2025)

Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
by: Mao, Chunyan, et al.
Published: (2024)

Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)

SocRipple: A Two-Stage Framework for Cold-Start Video Recommendations
by: Jaspal, Amit, et al.
Published: (2025)

From Symbolic to Natural-Language Relations: Rethinking Knowledge Graph Construction in the Era of Large Language Models
by: Han, Kanyao, et al.
Published: (2026)

Enhancing News Recommendation with Hierarchical LLM Prompting
by: Kieu, Hai-Dang, et al.
Published: (2025)

Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions
by: Zhang, Ziying, et al.
Published: (2025)

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
by: Pembek, Anton, et al.
Published: (2025)

Epinet for Content Cold Start
by: Jeon, Hong Jun, et al.
Published: (2024)

EviSnap: Faithful Evidence-Cited Explanations for Cold-Start Cross-Domain Recommendation
by: Dai, Yingjun, et al.
Published: (2026)

Temporal Stability and Few-Shot Prompting in Math Task Assessment
by: Fox, Danielle S., et al.
Published: (2026)

All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
by: Fang, Shuheng, et al.
Published: (2024)

Enhancing LLM Instruction Following: An Evaluation-Driven Multi-Agentic Workflow for Prompt Instructions Optimization
by: Purpura, Alberto, et al.
Published: (2026)

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
by: Hu, Shengchao, et al.
Published: (2024)

MicroNAS: Zero-Shot Neural Architecture Search for MCUs
by: Qiao, Ye, et al.
Published: (2024)

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
by: Yang, Haowei, et al.
Published: (2025)

Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
by: Pouramini, Ahmad, et al.
Published: (2024)

SGPT: Few-Shot Prompt Tuning for Signed Graphs
by: Zhai, Zian, et al.
Published: (2024)

Breaking the Cold-Start Barrier: Reinforcement Learning with Double and Dueling DQNs
by: Zhao, Minda
Published: (2025)

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

Pay More Attention to the Robustness of Prompt for Instruction Data Mining
by: Wang, Qiang, et al.
Published: (2025)

Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts
by: Aftab, Danyal, et al.
Published: (2024)

Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization
by: Li, Wenwu, et al.
Published: (2026)

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
by: Duvvuri, Raghuvir, et al.
Published: (2025)