Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Ali, Nurshat Fateh, Mohtasim, Md. Mahdi, Mosharrof, Shakil, Krishna, T. Gopi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
by: Brown, Andrew, et al.
Published: (2025)
by: Brown, Andrew, et al.
Published: (2025)
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
by: Saad-Falcon, Jon, et al.
Published: (2023)
by: Saad-Falcon, Jon, et al.
Published: (2023)
Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
by: Wang, Zifan, et al.
Published: (2024)
by: Wang, Zifan, et al.
Published: (2024)
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2025)
by: Dong, Guanting, et al.
Published: (2025)
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Enhancing Retrieval-Augmented Generation with Topic-Enriched Embeddings: A Hybrid Approach Integrating Traditional NLP Techniques
by: Kataishi, Rodrigo
Published: (2025)
by: Kataishi, Rodrigo
Published: (2025)
RAGE Against the Machine: Retrieval-Augmented LLM Explanations
by: Rorseth, Joel, et al.
Published: (2024)
by: Rorseth, Joel, et al.
Published: (2024)
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
by: Qiu, Zhangchi, et al.
Published: (2025)
by: Qiu, Zhangchi, et al.
Published: (2025)
Retrieval Augmented Generation-Based Incident Resolution Recommendation System for IT Support
by: Isaza, Paulina Toro, et al.
Published: (2024)
by: Isaza, Paulina Toro, et al.
Published: (2024)
Refine Medical Diagnosis Using Generation Augmented Retrieval and Clinical Practice Guidelines
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Retrieval-Augmented Reasoning for Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2026)
by: Gupta, Jatin, et al.
Published: (2026)
PersianRAG: A Retrieval-Augmented Generation System for Persian Language
by: Hosseini, Hossein, et al.
Published: (2024)
by: Hosseini, Hossein, et al.
Published: (2024)
Benchmarking Retrieval-Augmented Generation for Chemistry
by: Zhong, Xianrui, et al.
Published: (2025)
by: Zhong, Xianrui, et al.
Published: (2025)
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
by: Nkhata, Gibson, et al.
Published: (2026)
by: Nkhata, Gibson, et al.
Published: (2026)
Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm
by: Li, Zihang, et al.
Published: (2026)
by: Li, Zihang, et al.
Published: (2026)
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
by: Sawarkar, Kunal, et al.
Published: (2024)
by: Sawarkar, Kunal, et al.
Published: (2024)
LitLLM: A Toolkit for Scientific Literature Review
by: Agarwal, Shubham, et al.
Published: (2024)
by: Agarwal, Shubham, et al.
Published: (2024)
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
by: Ye, Fuda, et al.
Published: (2024)
by: Ye, Fuda, et al.
Published: (2024)
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
by: Xiao, Liang, et al.
Published: (2025)
by: Xiao, Liang, et al.
Published: (2025)
Graph Retrieval-Augmented Generation: A Survey
by: Peng, Boci, et al.
Published: (2024)
by: Peng, Boci, et al.
Published: (2024)
Enhancing Retrieval Processes for Language Generation with Augmented Queries
by: Ghali, Julien Pierre Edmond, et al.
Published: (2024)
by: Ghali, Julien Pierre Edmond, et al.
Published: (2024)
RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
by: Köse, Süha Kağan, et al.
Published: (2026)
by: Köse, Süha Kağan, et al.
Published: (2026)
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation
by: Louis, Maxime, et al.
Published: (2025)
by: Louis, Maxime, et al.
Published: (2025)
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
A Comparative Analysis of Retrieval-Augmented Generation Techniques for Bengali Standard-to-Dialect Machine Translation Using LLMs
by: Sami, K. M. Jubair, et al.
Published: (2025)
by: Sami, K. M. Jubair, et al.
Published: (2025)
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
by: Luo, Linhao, et al.
Published: (2025)
by: Luo, Linhao, et al.
Published: (2025)
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
by: Singh, Aditi, et al.
Published: (2025)
by: Singh, Aditi, et al.
Published: (2025)
Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
by: Stankovic, Mile
Published: (2025)
by: Stankovic, Mile
Published: (2025)
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
by: Bai, Yu, et al.
Published: (2024)
by: Bai, Yu, et al.
Published: (2024)
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
by: Yazan, Mert, et al.
Published: (2024)
by: Yazan, Mert, et al.
Published: (2024)
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
by: Li, Xiaonan, et al.
Published: (2023)
by: Li, Xiaonan, et al.
Published: (2023)
RARe: Retrieval Augmented Retrieval with In-Context Examples
by: Tejaswi, Atula, et al.
Published: (2024)
by: Tejaswi, Atula, et al.
Published: (2024)
VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents
by: Huwiler, Daniel, et al.
Published: (2025)
by: Huwiler, Daniel, et al.
Published: (2025)
A Survey on Retrieval-Augmented Text Generation for Large Language Models
by: Huang, Yizheng, et al.
Published: (2024)
by: Huang, Yizheng, et al.
Published: (2024)
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
by: Zhang, Gongbo, et al.
Published: (2026)
by: Zhang, Gongbo, et al.
Published: (2026)
DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
by: Liang, Penghao, et al.
Published: (2026)
by: Liang, Penghao, et al.
Published: (2026)
Similar Items
-
A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
by: Brown, Andrew, et al.
Published: (2025) -
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025) -
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025) -
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
by: Saad-Falcon, Jon, et al.
Published: (2023) -
Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
by: Wang, Zifan, et al.
Published: (2024)