:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Garg, Mansi, Wang, Lee-Chi, Ghanchi, Bhavesh, Dumpala, Sanjana, Kakde, Shreyash, Chen, Yen Chih
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2509.05505
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
by: Fajardo, Val Andrei, et al.
Published: (2025)

Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
by: Wei, Zhepei, et al.
Published: (2024)

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
by: Liu, Dongqi, et al.
Published: (2026)

Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
by: Verma, Prakhar, et al.
Published: (2024)

CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025)

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions
by: Oche, Agada Joseph, et al.
Published: (2025)

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
by: Mori, Junki, et al.
Published: (2025)

Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents
by: Han, Kaiqiao, et al.
Published: (2026)

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)

DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
by: Hei, Zijian, et al.
Published: (2024)

Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents
by: Shafran, Avital, et al.
Published: (2024)

Retrieval-Augmented Multimodal Depression Detection
by: Hou, Ruibo, et al.
Published: (2025)

PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)

MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
by: Kwon, Daeyong, et al.
Published: (2025)

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)

Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)

Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation
by: Ali, Nurshat Fateh, et al.
Published: (2024)

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, et al.
Published: (2025)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)

DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue
by: Zhang, Feiyuan, et al.
Published: (2025)

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)

Classifying and Addressing the Diversity of Errors in Retrieval-Augmented Generation Systems
by: Leung, Kin Kwan, et al.
Published: (2025)

QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance
by: Saha, Binita, et al.
Published: (2025)

FACTS About Building Retrieval Augmented Generation-based Chatbots
by: Akkiraju, Rama, et al.
Published: (2024)

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
by: Xiao, Yongkang, et al.
Published: (2025)

SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
by: Yang, Yuxin, et al.
Published: (2026)

VideoRAG: Retrieval-Augmented Generation over Video Corpus
by: Jeong, Soyeong, et al.
Published: (2025)

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
by: Sarmah, Bhaskarjit, et al.
Published: (2024)

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)

P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA
by: Lyu, Xingda, et al.
Published: (2026)

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG
by: Zheng, Yijia, et al.
Published: (2026)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)

Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation
by: Zhu, Mengdan, et al.
Published: (2025)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models
by: He, Jacky, et al.
Published: (2025)

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
by: Islam, Shayekh Bin, et al.
Published: (2024)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
by: Moreira, Gabriel de Souza P., et al.
Published: (2024)

TabRAG: Improving Tabular Document Question Answering for Retrieval Augmented Generation via Structured Representations
by: Si, Jacob, et al.
Published: (2025)