Cover Image

Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chitale, Pranjal A., Santra, Bishal, Prabhu, Yashoteja, Sharma, Amit
Format:	Preprint
Published:	2025
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

HORIZON: A Benchmark for In-the-wild User Behaviour Modeling
by: Goel, Arnav, et al.
Published: (2026)

Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation
by: Allamraju, Aparajitha, et al.
Published: (2025)

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
by: Prakash, Jatin, et al.
Published: (2024)

AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
by: Meng, Rui, et al.
Published: (2022)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)

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

Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers
by: Sharma, Chaitanya
Published: (2025)

Evaluating the Retrieval Component in LLM-Based Question Answering Systems
by: Alinejad, Ashkan, et al.
Published: (2024)

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain
by: Amirshahi, Shakiba, et al.
Published: (2025)

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
by: Guttal, Pooja, et al.
Published: (2026)

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
by: Du, Linfeng, et al.
Published: (2026)

LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum
by: Xu, Zhichao, et al.
Published: (2026)

RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
by: Nguyen, Long, et al.
Published: (2025)

A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models
by: Zhang, Gongbo, et al.
Published: (2024)

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation
by: Murugaraj, Keerthana, et al.
Published: (2025)

Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
by: Guinet, Gauthier, et al.
Published: (2024)

SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context
by: Wang, Hairu, et al.
Published: (2025)

Developing Visual Augmented Q&A System using Scalable Vision Embedding Retrieval & Late Interaction Re-ranker
by: Saxena, Rachna, et al.
Published: (2025)

Retrieval-Augmented Reasoning for Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2026)

TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA
by: Yuan, Mengwei, et al.
Published: (2026)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)

Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup
by: Kenneweg, Tristan, et al.
Published: (2024)

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
by: Wang, Shuai, et al.
Published: (2024)

Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval
by: Lovon, Jesus, et al.
Published: (2025)

ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval
by: Mo, Fengran, et al.
Published: (2025)

HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
by: Yan, Guohang, et al.
Published: (2025)

GeAR: Generation Augmented Retrieval
by: Liu, Haoyu, et al.
Published: (2025)

Dynamic and Parametric Retrieval-Augmented Generation
by: Su, Weihang, et al.
Published: (2025)

When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively
by: Labruna, Tiziano, et al.
Published: (2024)

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
by: Fensore, Chase, et al.
Published: (2025)

Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
by: Qiu, Zhangchi, et al.
Published: (2025)

RAGE Against the Machine: Retrieval-Augmented LLM Explanations
by: Rorseth, Joel, et al.
Published: (2024)

Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
by: Hashemi, Helia, et al.
Published: (2025)

Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
by: Li, Mufei, et al.
Published: (2024)

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

Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)