Cover Image

The Power of Noise: Redefining Retrieval for RAG Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cuconasu, Florin, Trappolini, Giovanni, Siciliano, Federico, Filice, Simone, Campagnano, Cesare, Maarek, Yoelle, Tonellotto, Nicola, Silvestri, Fabrizio
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Redefining Retrieval Evaluation in the Era of LLMs
by: Trappolini, Giovanni, et al.
Published: (2025)

Do RAG Systems Really Suffer From Positional Bias?
by: Cuconasu, Florin, et al.
Published: (2025)

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
by: Cuconasu, Florin, et al.
Published: (2024)

RRAML: Reinforced Retrieval Augmented Machine Learning
by: Bacciu, Andrea, et al.
Published: (2023)

The Distracting Effect: Understanding Irrelevant Passages in RAG
by: Amiraz, Chen, et al.
Published: (2025)

ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval
by: D'Erasmo, Giulio, et al.
Published: (2024)

LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation
by: Carmel, David, et al.
Published: (2025)

Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana
by: Filice, Simone, et al.
Published: (2025)

A Reproducible Analysis of Sequential Recommender Systems
by: Betello, Filippo, et al.
Published: (2024)

Static Pruning in Dense Retrieval using Matrix Decomposition
by: Siciliano, Federico, et al.
Published: (2024)

Integrating Item Relevance in Training Loss for Sequential Recommender Systems
by: Bacciu, Andrea, et al.
Published: (2023)

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
by: Di Teodoro, Giulia, et al.
Published: (2024)

SIGIR 2025 -- LiveRAG Challenge Report
by: Carmel, David, et al.
Published: (2025)

Statistical Foundations of DIME: Risk Estimation for Practical Index Selection
by: D'Erasmo, Giulio, et al.
Published: (2026)

Efficient Constant-Space Multi-Vector Retrieval
by: MacAvaney, Sean, et al.
Published: (2025)

Multimodal Neural Databases
by: Trappolini, Giovanni, et al.
Published: (2023)

A Reproducibility Study of PLAID
by: MacAvaney, Sean, et al.
Published: (2024)

Graph Neural Re-Ranking via Corpus Graph
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
by: Betello, Filippo, et al.
Published: (2023)

A Picture of Agentic Search
by: Pezzuti, Francesca, et al.
Published: (2026)

Generating Query Recommendations via LLMs
by: Bacciu, Andrea, et al.
Published: (2024)

AMAQA: A Metadata-based QA Dataset for RAG Systems
by: Bruni, Davide, et al.
Published: (2025)

Faster Learned Sparse Retrieval with Block-Max Pruning
by: Mallia, Antonio, et al.
Published: (2024)

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

OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)

Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)

Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)

Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval
by: Pacini, Giacomo, et al.
Published: (2024)

CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG
by: Wang, Ziting, et al.
Published: (2024)

MURR: Model Updating with Regularized Replay for Searching a Document Stream
by: Yang, Eugene, et al.
Published: (2025)

SRAG: RAG with Structured Data Improves Vector Retrieval
by: Shah, Shalin, et al.
Published: (2026)

CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
by: Wang, Nengbo, et al.
Published: (2025)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
by: Chang, Chia-Yuan, et al.
Published: (2024)

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval
by: Peng, Peng, et al.
Published: (2026)

H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations
by: Elchafei, Passant, et al.
Published: (2026)

Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
by: Purificato, Antonio, et al.
Published: (2023)

Decomposing Retrieval Failures in RAG for Long-Document Financial Question Answering
by: Kobeissi, Amine, et al.
Published: (2026)

Roles of MLLMs in Visually Rich Document Retrieval for RAG: A Survey
by: Zhang, Xiantao
Published: (2025)

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
by: Zhang, Zhuocheng, et al.
Published: (2025)