Imagen de Portada

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shi, Kaize, Sun, Xueyao, Wang, Dingxian, Fu, Yinlin, Xu, Guandong, Li, Qing
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language Artificial Intelligence Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
por: Peng, Bo, et al.
Publicado: (2024)

Enabling Collaborative Parametric Knowledge Calibration for Retrieval-Augmented Vision Question Answering
por: Deng, Jiaqi, et al.
Publicado: (2025)

Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
por: Ling, Xinyi, et al.
Publicado: (2024)

ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
por: Fang, Zheng, et al.
Publicado: (2025)

REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-commerce Visual Search System Optimization
por: Tang, Yiwen, et al.
Publicado: (2025)

TaoSR1: The Thinking Model for E-commerce Relevance Search
por: Dong, Chenhe, et al.
Publicado: (2025)

A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
por: Yuan, Chunyuan, et al.
Publicado: (2025)

Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
por: Liu, Zhenhui, et al.
Publicado: (2025)

Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval
por: Pang, Ming, et al.
Publicado: (2025)

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
por: Fang, Chenhao, et al.
Publicado: (2024)

SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph
por: Rangel, Julio C., et al.
Publicado: (2024)

Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation
por: Feng, Yingchaojie, et al.
Publicado: (2025)

OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation
por: Hao, Xuegang, et al.
Publicado: (2025)

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
por: Yang, Jianhui, et al.
Publicado: (2025)

A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce
por: Yuan, Chunyuan, et al.
Publicado: (2024)

Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System
por: Islek, Irem, et al.
Publicado: (2024)

Unified Multimodal Interleaved Document Representation for Retrieval
por: Lee, Jaewoo, et al.
Publicado: (2024)

A Systematic Examination of Preference Learning through the Lens of Instruction-Following
por: Kim, Joongwon, et al.
Publicado: (2024)

Comparative Analysis of Neural Retriever-Reranker Pipelines for Retrieval-Augmented Generation over Knowledge Graphs in E-commerce Applications
por: Rumble, Teri, et al.
Publicado: (2025)

Detecting Deceptive Dark Patterns in E-commerce Platforms
por: Ramteke, Arya, et al.
Publicado: (2024)

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
por: Zhang, Rongyang, et al.
Publicado: (2025)

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents
por: Jin, Bowen, et al.
Publicado: (2025)

Towards Better Instruction Following Retrieval Models
por: Zhuang, Yuchen, et al.
Publicado: (2025)

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
por: Sachdev, Jayant, et al.
Publicado: (2025)

RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment
por: Lu, Chenji, et al.
Publicado: (2025)

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge
por: Huang, Sirui, et al.
Publicado: (2025)

Empowering ChatGPT-Like Large-Scale Language Models with Local Knowledge Base for Industrial Prognostics and Health Management
por: Wang, Huan, et al.
Publicado: (2023)

Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
por: Shi, Kaize, et al.
Publicado: (2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2024)

You Are What You Bought: Generating Customer Personas for E-commerce Applications
por: Shi, Yimin, et al.
Publicado: (2025)

FollowTable: A Benchmark for Instruction-Following Table Retrieval
por: Jin, Rihui, et al.
Publicado: (2026)

Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring
por: Huang, Sirui, et al.
Publicado: (2026)

Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
por: Xu, Da, et al.
Publicado: (2024)

MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce
por: Jiang, Hao, et al.
Publicado: (2024)

LREF: A Novel LLM-based Relevance Framework for E-commerce
por: Tang, Tian, et al.
Publicado: (2025)

Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants
por: de Freitas, Bruno Amaral Teixeira, et al.
Publicado: (2024)

TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios
por: Liang, Zida, et al.
Publicado: (2025)

Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
por: Xu, Kangming, et al.
Publicado: (2024)

E-commerce Webpage Recommendation Scheme Base on Semantic Mining and Neural Networks
por: Zhao, Wenchao, et al.
Publicado: (2024)

Generative Retrieval with Preference Optimization for E-commerce Search
por: Li, Mingming, et al.
Publicado: (2024)