:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Schelpe, Sietse
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2605.09611
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Merlin: Deterministic Byte-Exact Deduplication for Lossless Context Optimization in Large Language Model Inference
by: Schelpe, Sietse
Published: (2026)

Generative Deduplication For Socia Media Data Selection
by: Li, Xianming, et al.
Published: (2024)

An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought
by: Zhao, Yuetong, et al.
Published: (2024)

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
by: Yu, Shuo, et al.
Published: (2024)

Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study
by: Bal, Devi Prasad, et al.
Published: (2026)

Benchmarking Retrieval-Augmented Generation for Medicine
by: Xiong, Guangzhi, et al.
Published: (2024)

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
by: Rau, David, et al.
Published: (2024)

SEDD: Scalable and Efficient Dataset Deduplication with GPUs
by: Son, Youngjun, et al.
Published: (2025)

Benchmarking Retrieval-Augmented Generation for Chemistry
by: Zhong, Xianrui, et al.
Published: (2025)

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation
by: Tan, Zhehao, et al.
Published: (2025)

Deduplicating and Ranking Solution Programs for Suggesting Reference Solutions
by: Shirafuji, Atsushi, et al.
Published: (2023)

YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
by: Yu, Deshui, et al.
Published: (2025)

Legal-DC: Benchmarking Retrieval-Augmented Generation for Legal Documents
by: Li, Yaocong, et al.
Published: (2026)

MRAG: Benchmarking Retrieval-Augmented Generation for Bio-medicine
by: Li, Liz, et al.
Published: (2026)

RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
by: Friel, Robert, et al.
Published: (2024)

CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation
by: Hou, Abe Bohan, et al.
Published: (2024)

WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain
by: Meyur, Rounak, et al.
Published: (2024)

Bi'an: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation
by: Jiang, Zhouyu, et al.
Published: (2025)

MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
by: Park, Chanhee, et al.
Published: (2025)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
by: Cheng, Yiruo, et al.
Published: (2024)

LIT-RAGBench: Benchmarking Generator Capabilities of Large Language Models in Retrieval-Augmented Generation
by: Itai, Koki, et al.
Published: (2026)

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
by: Li, Xiang, et al.
Published: (2024)

CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation
by: Wei, Kaiwen, et al.
Published: (2025)

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)

Three Regimes of Context-Parametric Conflict: A Predictive Framework and Empirical Validation
by: Venkata, Pruthvinath Jeripity
Published: (2026)

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
by: Tang, Yixuan, et al.
Published: (2024)

RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems
by: Lin, Jingru, et al.
Published: (2025)

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
by: Dong, Kuicai, et al.
Published: (2025)

Towards Global Retrieval Augmented Generation: A Benchmark for Corpus-Level Reasoning
by: Luo, Qi, et al.
Published: (2025)

Can Small Language Models Use What They Retrieve? An Empirical Study of Retrieval Utilization Across Model Scale
by: Pandey, Sanchit
Published: (2026)

Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA
by: Pu, Yuan, et al.
Published: (2024)

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
by: Lyu, Yuanjie, et al.
Published: (2024)

Multilingual Retrieval Augmented Generation for Culturally-Sensitive Tasks: A Benchmark for Cross-lingual Robustness
by: Li, Bryan, et al.
Published: (2024)

Unified Active Retrieval for Retrieval Augmented Generation
by: Cheng, Qinyuan, et al.
Published: (2024)

Corrective Retrieval Augmented Generation
by: Yan, Shi-Qi, et al.
Published: (2024)

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems
by: Katsis, Yannis, et al.
Published: (2025)

MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
by: Blandón, María Andrea Cruz, et al.
Published: (2025)

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

CReSt: A Comprehensive Benchmark for Retrieval-Augmented Generation with Complex Reasoning over Structured Documents
by: Khang, Minsoo, et al.
Published: (2025)

MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
by: Lee, Jungyeon, et al.
Published: (2025)