Imagen de Portada

A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI Judge

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rangan, Keshav, Yin, Yiqiao
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
por: Meng, Changping, et al.
Publicado: (2025)

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
por: Wang, Chen, et al.
Publicado: (2024)

From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants
por: Mukherjee, Manisha, et al.
Publicado: (2025)

Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering
por: Siriwardhana, Shamane, et al.
Publicado: (2021)

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation
por: Liu, Hao, et al.
Publicado: (2024)

Data-efficient Fine-tuning for LLM-based Recommendation
por: Lin, Xinyu, et al.
Publicado: (2024)

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
por: Zhao, Xinping, et al.
Publicado: (2024)

Fine-tuning Multimodal Large Language Models for Product Bundling
por: Liu, Xiaohao, et al.
Publicado: (2024)

Towards Comprehensible Recommendation with Large Language Model Fine-tuning
por: Luo, Yunze, et al.
Publicado: (2025)

PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
por: Zerhoudi, Saber, et al.
Publicado: (2024)

UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning
por: Zhang, Jiaming, et al.
Publicado: (2025)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
por: Jiang, Xinke, et al.
Publicado: (2024)

PreQRAG -- Classify and Rewrite for Enhanced RAG
por: Martinez, Damian, et al.
Publicado: (2025)

FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
por: Hong, Yubin, et al.
Publicado: (2025)

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
por: Guo, Jinyu, et al.
Publicado: (2025)

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
por: Tan, Jiejun, et al.
Publicado: (2024)

Optimizing Query Generation for Enhanced Document Retrieval in RAG
por: Koo, Hamin, et al.
Publicado: (2024)

Judging the Judges: A Collection of LLM-Generated Relevance Judgements
por: Rahmani, Hossein A., et al.
Publicado: (2025)

DisastRAG: A Multi-Source Disaster Information Integration and Access System Based on Retrieval-Augmented Large Language Models
por: Li, Bo, et al.
Publicado: (2026)

OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models
por: Feng, Hui, et al.
Publicado: (2025)

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
por: Hu, Yibo, et al.
Publicado: (2025)

S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA
por: Li, Minghan, et al.
Publicado: (2026)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
por: Moreira, Gabriel de Souza P., et al.
Publicado: (2024)

Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval
por: Schlatt, Ferdinand, et al.
Publicado: (2024)

Vector Quantization for Recommender Systems: A Review and Outlook
por: Liu, Qijiong, et al.
Publicado: (2024)

KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation
por: Chen, Ching Han, et al.
Publicado: (2025)

Pre-train and Fine-tune: Recommenders as Large Models
por: Jiang, Zhenhao, et al.
Publicado: (2025)

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
por: Han, Haoyu, et al.
Publicado: (2025)

A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
por: Li, Lin, et al.
Publicado: (2025)

REAPER: Reasoning based Retrieval Planning for Complex RAG Systems
por: Joshi, Ashutosh, et al.
Publicado: (2024)

Towards End-to-End Model-Agnostic Explanations for RAG Systems
por: Sudhi, Viju, et al.
Publicado: (2025)

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
por: Mridul, Maruf Ahmed, et al.
Publicado: (2025)

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
por: Uapadhyay, Rishabh, et al.
Publicado: (2025)

Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications
por: Sousa, Pedro, et al.
Publicado: (2025)

Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
por: Zeng, Shenglai, et al.
Publicado: (2025)

KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
por: Huang, Yiqian, et al.
Publicado: (2025)

LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
por: Chandra, Manish, et al.
Publicado: (2026)

DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
por: Zeng, Xingyuan, et al.
Publicado: (2026)

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
por: Fan, Dongzhe, et al.
Publicado: (2026)

Enhancing Technical Documents Retrieval for RAG
por: Lai, Songjiang, et al.
Publicado: (2025)