Cover Image

Information Retrieval in the Age of Generative AI: The RGB Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Garetto, Michele, Cornacchia, Alessandro, Galante, Franco, Leonardi, Emilio, Nordio, Alessandro, Tarable, Alberto
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Performance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dominance or Fair Play in Social Networks? A Model of Influencer Popularity Dynamic
by: Galante, Franco, et al.
Published: (2025)

VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
by: Monir, Solmaz Seyed, et al.
Published: (2024)

Future of Information Retrieval Research in the Age of Generative AI
by: Allan, James, et al.
Published: (2024)

CirrusBench: Evaluating LLM-based Agents Beyond Correctness in Real-World Cloud Service Environments
by: Yu, Yi, et al.
Published: (2026)

Distilled Neural Networks for Efficient Learning to Rank
by: Nardini, F. M., et al.
Published: (2022)

RAGPerf: An End-to-End Benchmarking Framework for Retrieval-Augmented Generation Systems
by: Li, Shaobo, et al.
Published: (2026)

Enhancing the Interpretability of Rule-based Explanations through Information Retrieval
by: Umbrico, Alessandro, et al.
Published: (2025)

Knowledge Retrieval Based on Generative AI
by: Yang, Te-Lun, et al.
Published: (2025)

Characterizing Web Search in The Age of Generative AI
by: Kirsten, Elisabeth, et al.
Published: (2025)

TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)

Search Still Matters: Information Retrieval in the Era of Generative AI
by: Hersh, William R.
Published: (2023)

Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach
by: Kim, Jisu, et al.
Published: (2025)

InPars+: Supercharging Synthetic Data Generation for Information Retrieval Systems
by: Krastev, Matey, et al.
Published: (2025)

Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval
by: Kim, Hyunkyu, et al.
Published: (2025)

Agentic Information Retrieval
by: Zhang, Weinan, et al.
Published: (2024)

IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios
by: Lin, Hai, et al.
Published: (2024)

Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)

Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text
by: Antonov, Anton, et al.
Published: (2026)

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
by: Azizi, Ilias, et al.
Published: (2025)

Ranking with Ties based on Noisy Performance Data
by: Sankaran, Aravind, et al.
Published: (2024)

Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments
by: Besta, Maciej, et al.
Published: (2024)

Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades
by: Nardini, Franco Maria, et al.
Published: (2025)

Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation
by: Zhao, Yi-Fei, et al.
Published: (2024)

Redefining Information Retrieval of Structured Database via Large Language Models
by: Wang, Mingzhu, et al.
Published: (2024)

The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
by: Pandit, Tejul, et al.
Published: (2025)

Spectrum-Aware IRS Configuration Techniques for Ultrawideband Signals
by: Nordio, Alessandro, et al.
Published: (2025)

Retrieval Collapses When AI Pollutes the Web
by: Yu, Hongyeon, et al.
Published: (2026)

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)

From HNSW to Information-Theoretic Binarization: Rethinking the Architecture of Scalable Vector Search
by: Abtahi, Seyed Moein, et al.
Published: (2025)

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

Multimodal Generative Retrieval Model with Staged Pretraining for Food Delivery on Meituan
by: Chen, Boyu, et al.
Published: (2026)

A survey: Information search time optimization based on RAG (Retrieval Augmentation Generation) chatbot
by: Patel, Jinesh, et al.
Published: (2025)

Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
by: Liu, Yuhang, et al.
Published: (2024)

Benchmarking Information Retrieval Models on Complex Retrieval Tasks
by: Killingback, Julian, et al.
Published: (2025)

Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
by: Liu, Ye, et al.
Published: (2023)

R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
by: Ye, Fuda, et al.
Published: (2024)

Comparison of Information Retrieval Techniques Applied to IT Support Tickets
by: Pereira, Leonardo Santiago Benitez, et al.
Published: (2025)

Multimodal Representation Alignment for Cross-modal Information Retrieval
by: Xu, Fan, et al.
Published: (2025)

Unifying Generative and Dense Retrieval for Sequential Recommendation
by: Yang, Liu, et al.
Published: (2024)

Exploring the Practicality of Generative Retrieval on Dynamic Corpora
by: Kim, Chaeeun, et al.
Published: (2023)