Cover Image

A Reproducibility Study of Metacognitive Retrieval-Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Iturra-Bocaz, Gabriel, Galuscakova, Petra
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models
by: Iturra-Bocaz, Gabriel, et al.
Published: (2025)

UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
by: Łajewska, Weronika, et al.
Published: (2025)

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

Navigating Speech Recording Collections with AI-Generated Illustrations
by: Håland, Sirina, et al.
Published: (2025)

A Reproducibility Study of Graph-Based Legal Case Retrieval
by: Donabauer, Gregor, et al.
Published: (2025)

Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
by: Agrawal, Garima, et al.
Published: (2024)

Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)

Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
by: Stuhlmann, Linus, et al.
Published: (2025)

Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
by: Tian, Fangzheng, et al.
Published: (2026)

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)

A Hybrid Retrieval and Reranking Framework for Evidence-Grounded Retrieval-Augmented Generation
by: Irany, Fariba Afrin, et al.
Published: (2026)

Reproducing NevIR: Negation in Neural Information Retrieval
by: Elsen, Coen van den, et al.
Published: (2025)

On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents
by: Lionis, Emmanouil Georgios, et al.
Published: (2025)

Reproducible Hybrid Time-Travel Retrieval in Evolving Corpora
by: Staudinger, Moritz, et al.
Published: (2024)

A Reproducibility and Generalizability Study of Large Language Models for Query Generation
by: Staudinger, Moritz, et al.
Published: (2024)

RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
by: Yang, Eugene, et al.
Published: (2026)

DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation
by: Hsu, Hsin-Ling, et al.
Published: (2025)

Unsupervised Query Routing for Retrieval Augmented Generation
by: Mu, Feiteng, et al.
Published: (2025)

Retrieval Augmented Generation Evaluation for Health Documents
by: Ceresa, Mario, et al.
Published: (2025)

Text Information Retrieval in Tetun: A Preliminary Study
by: de Jesus, Gabriel
Published: (2024)

Federated Retrieval-Augmented Generation: A Systematic Mapping Study
by: Chakraborty, Abhijit, et al.
Published: (2025)

Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)

Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction
by: Qiao, Jingfen, et al.
Published: (2025)

Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation
by: Zhao, Yingqi, et al.
Published: (2026)

Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommendation: Reproducibility Below the Rerun-Stability Baseline
by: Jack, Will, et al.
Published: (2026)

TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval
by: Dewan, Mouly, et al.
Published: (2025)

Bayesian inference to improve quality of Retrieval Augmented Generation
by: Rao, Dattaraj
Published: (2024)

Augmenting Textual Generation via Topology Aware Retrieval
by: Wang, Yu, et al.
Published: (2024)

VISA: Retrieval Augmented Generation with Visual Source Attribution
by: Ma, Xueguang, et al.
Published: (2024)

Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025)

Creating a Taxonomy for Retrieval Augmented Generation Applications
by: Nikishina, Irina, et al.
Published: (2024)

Corpus-informed Retrieval Augmented Generation of Clarifying Questions
by: Krasakis, Antonios Minas, et al.
Published: (2024)

Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning
by: Bi, Keping, et al.
Published: (2024)

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation
by: Killingback, Julian, et al.
Published: (2026)

Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems
by: Kim, Sejong, et al.
Published: (2025)

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

RAGPart & RAGMask: Retrieval-Stage Defenses Against Corpus Poisoning in Retrieval-Augmented Generation
by: Pathmanathan, Pankayaraj, et al.
Published: (2025)

Evaluating Retrieval Quality in Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2024)

Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track
by: Upadhyay, Shivani, et al.
Published: (2026)