Imagen de Portada

What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shi, Kainan, Zhou, Peilin, Wang, Ge, Ding, Han, Wang, Fei
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval H.3.3; I.2.6; I.2.7
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented Generation
por: Pradhan, Anu, et al.
Publicado: (2025)

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model
por: Choi, Sinnyum, et al.
Publicado: (2025)

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
por: Iana, Andreea, et al.
Publicado: (2023)

MasterSet: A Large-Scale Benchmark for Must-Cite Citation Recommendation in the AI/ML Literature
por: Ratul, Md Toyaha Rahman, et al.
Publicado: (2026)

Criteria-Based LLM Relevance Judgments
por: Farzi, Naghmeh, et al.
Publicado: (2025)

Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems
por: Hua, Kai, et al.
Publicado: (2025)

PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding
por: Ayaou, Iliass, et al.
Publicado: (2025)

Real-Time RAG for the Identification of Supply Chain Vulnerabilities
por: Ponnock, Jesse, et al.
Publicado: (2025)

Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment
por: Yadav, Arihan, et al.
Publicado: (2024)

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints
por: Liu, Jianan, et al.
Publicado: (2026)

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection
por: Guo, Dongxin, et al.
Publicado: (2026)

Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance
por: Che, Jiarui, et al.
Publicado: (2026)

FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline
por: Singh, Kuldeep, et al.
Publicado: (2024)

Combating data scarcity in recommendation services: Integrating cognitive types of VARK and neural network technologies (LLM)
por: Zmanovskii, Nikita
Publicado: (2026)

A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets
por: Saragadam, Harish, et al.
Publicado: (2025)

BridgeRAG: Training-Free Bridge-Conditioned Retrieval for Multi-Hop Question Answering
por: Bacellar, Andre
Publicado: (2026)

Session Context Embedding for Intent Understanding in Product Search
por: Mehrdad, Navid, et al.
Publicado: (2024)

Scaling Multilingual Semantic Search in Uber Eats Delivery
por: Ling, Bo, et al.
Publicado: (2026)

Does UMBRELA Work on Other LLMs?
por: Farzi, Naghmeh, et al.
Publicado: (2025)

Algorithmic Trust and Compliance: Benchmarking Brand Notability for UK iGaming Entities in Generative Search Engines
por: Oruesagasti, Julen
Publicado: (2026)

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
por: Koutsiaris, Christos
Publicado: (2026)

Optimizing open-domain question answering with graph-based retrieval augmented generation
por: Cahoon, Joyce, et al.
Publicado: (2025)

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models
por: Hu, Zhibo, et al.
Publicado: (2024)

MODP: Multi Objective Directional Prompting
por: Nema, Aashutosh, et al.
Publicado: (2025)

HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysis
por: Godinez, Alejandro
Publicado: (2025)

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation
por: Zeng, Yangchen, et al.
Publicado: (2026)

A Systematic Framework for Enterprise Knowledge Retrieval: Leveraging LLM-Generated Metadata to Enhance RAG Systems
por: Mishra, Pranav Pushkar, et al.
Publicado: (2025)

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
por: Calonge, David Santandreu, et al.
Publicado: (2025)

Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking
por: Hu, Zhengmian, et al.
Publicado: (2026)

Smart ETL and LLM-based contents classification: the European Smart Tourism Tools Observatory experience
por: Cosme, Diogo, et al.
Publicado: (2024)

VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion
por: Guo, David, et al.
Publicado: (2025)

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
por: Meghwani, Hansa, et al.
Publicado: (2025)

FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
por: Guo, Dongxin, et al.
Publicado: (2026)

A Case Study of Balanced Query Recommendation on Wikipedia
por: Mishra, Harshit, et al.
Publicado: (2025)

EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta
por: Bernard, Raymond, et al.
Publicado: (2024)

Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
por: Almasian, Satya, et al.
Publicado: (2024)

NSFL: A Post-Training Neuro-Symbolic Fuzzy Logic Framework for Boolean Operators in Neural Embeddings
por: Vexler, Vladi, et al.
Publicado: (2026)

Retrieval Augmented Thought Process for Private Data Handling in Healthcare
por: Pouplin, Thomas, et al.
Publicado: (2024)

Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
por: Iana, Andreea, et al.
Publicado: (2024)