mlsanityData to 7 Oct 2026

AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications

arXiv 2510.02243 ↗First posted 2 Oct 2025cs.CLcited by 0

On the map: Retrieval-augmented generation → RAG robustness and adaptive retrieval

Abstract (arXiv)

We introduce AccurateRAG -- a novel framework for constructing high-performance question-answering applications based on retrieval-augmented generation (RAG). Our framework offers a pipeline for development efficiency with tools for raw dataset processing, fine-tuning data generation, text embedding & LLM fine-tuning, output evaluation, and building RAG systems locally. Experimental results show that our framework outperforms previous strong baselines and obtains new state-of-the-art question-answering performance on benchmark datasets.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in RAG robustness and adaptive retrieval, one of 15 directions in Retrieval-augmented generation. Builds on 19 of its 26 references that are in the map. First posted on arXiv 2 Oct 2025.

Builds on

19 of 26 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases15 Mar

Other references · 18

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  3. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 11,979
  4. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  5. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  6. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  7. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  8. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  9. 2023Gorilla: Large Language Model Connected with Massive APIscited by 1,302
  10. 2019PubMedQA: A Dataset for Biomedical Research Question Answeringcited by 1,271
  11. 2024ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Toolscited by 1,096
  12. 2023FinanceBench: A New Benchmark for Financial Question Answeringcited by 261
6 more
  1. 2024RAFT: Adapting Language Model to Domain Specific RAGcited by 258
  2. 2025Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGcited by 242
  3. 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMscited by 200
  4. 2024The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)cited by 159
  5. 2024CodeGemma: Open Code Models Based on Gemmacited by 145
  6. 2024LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Surveycited by 12

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs
  2. 2025Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks
  3. 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
  4. 2024RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation
  5. 2026Augmenting Question Answering with A Hybrid RAG Approach
  6. 2024FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering
  7. 2025Investigating the Robustness of Retrieval-Augmented Generation at the Query Level
  8. 2025Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers