Augmenting Question Answering with A Hybrid RAG Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Tianyi, Haque, Nashrah, Jonnalagadda, Vaishnave, Ong, Yuya Jeremy, Chen, Zhehui, Wu, Yanzhao, Yu, Lei, Jadav, Divyesh, Wei, Wenqi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum
by: Haque, Nashrah, et al.
Published: (2024)
by: Haque, Nashrah, et al.
Published: (2024)
GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering
by: Zhang, Tianyi, et al.
Published: (2026)
by: Zhang, Tianyi, et al.
Published: (2026)
SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
by: Zhong, Kezhen, et al.
Published: (2025)
by: Zhong, Kezhen, et al.
Published: (2025)
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation
by: Sobhan, Shadman, et al.
Published: (2025)
by: Sobhan, Shadman, et al.
Published: (2025)
QA-Dragon: Query-Aware Dynamic RAG System for Knowledge-Intensive Visual Question Answering
by: Jiang, Zhuohang, et al.
Published: (2025)
by: Jiang, Zhuohang, et al.
Published: (2025)
RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
by: Sivakumar, Aswini, et al.
Published: (2026)
by: Sivakumar, Aswini, et al.
Published: (2026)
AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications
by: Nguyen, Linh The, et al.
Published: (2025)
by: Nguyen, Linh The, et al.
Published: (2025)
MultiCube-RAG for Multi-hop Question Answering
by: Shi, Jimeng, et al.
Published: (2026)
by: Shi, Jimeng, et al.
Published: (2026)
Structured RAG for Answering Aggregative Questions
by: Koshorek, Omri, et al.
Published: (2025)
by: Koshorek, Omri, et al.
Published: (2025)
CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
by: Yang, Hao, et al.
Published: (2026)
by: Yang, Hao, et al.
Published: (2026)
MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
by: Kwon, Daeyong, et al.
Published: (2025)
by: Kwon, Daeyong, et al.
Published: (2025)
PDF Retrieval Augmented Question Answering
by: Hoang, Thi Thu Uyen, et al.
Published: (2025)
by: Hoang, Thi Thu Uyen, et al.
Published: (2025)
Chronological Passage Assembling in RAG framework for Temporal Question Answering
by: Kim, Byeongjeong, et al.
Published: (2025)
by: Kim, Byeongjeong, et al.
Published: (2025)
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
by: Han, Rujun, et al.
Published: (2024)
by: Han, Rujun, et al.
Published: (2024)
From RAG to Agentic RAG for Faithful Islamic Question Answering
by: Bhatia, Gagan, et al.
Published: (2026)
by: Bhatia, Gagan, et al.
Published: (2026)
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
by: Hei, Zijian, et al.
Published: (2024)
by: Hei, Zijian, et al.
Published: (2024)
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
by: Cao, Ruisheng, et al.
Published: (2025)
by: Cao, Ruisheng, et al.
Published: (2025)
S$^3$HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
by: Lei, Fangyu, et al.
Published: (2023)
by: Lei, Fangyu, et al.
Published: (2023)
ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
by: Wu, Ruofan, et al.
Published: (2025)
by: Wu, Ruofan, et al.
Published: (2025)
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
by: Zhao, Qingfei, et al.
Published: (2024)
by: Zhao, Qingfei, et al.
Published: (2024)
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering
by: Cai, Tianchi, et al.
Published: (2024)
by: Cai, Tianchi, et al.
Published: (2024)
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)
by: Chen, Zhongwu, et al.
Published: (2024)
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry
by: Chen, Qinwen, et al.
Published: (2025)
by: Chen, Qinwen, et al.
Published: (2025)
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
by: Wiratunga, Nirmalie, et al.
Published: (2024)
by: Wiratunga, Nirmalie, et al.
Published: (2024)
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
by: Qiu, Longpeng, et al.
Published: (2025)
by: Qiu, Longpeng, et al.
Published: (2025)
RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
by: Zhang, Rongyang, et al.
Published: (2025)
by: Zhang, Rongyang, et al.
Published: (2025)
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
by: Zhuang, Ziyuan, et al.
Published: (2024)
by: Zhuang, Ziyuan, et al.
Published: (2024)
Tatarstan Toponyms: A Bilingual Dataset and Hybrid RAG System for Geospatial Question Answering
by: Arabov, Mullosharaf K.
Published: (2026)
by: Arabov, Mullosharaf K.
Published: (2026)
MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering
by: Wang, Ziyu, et al.
Published: (2025)
by: Wang, Ziyu, et al.
Published: (2025)
OCC-RAG: Optimal Cognitive Core for Faithful Question Answering
by: Savkin, Maksim, et al.
Published: (2026)
by: Savkin, Maksim, et al.
Published: (2026)
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
by: Siriwardhana, Shamane, et al.
Published: (2022)
by: Siriwardhana, Shamane, et al.
Published: (2022)
RAG-BioQA: A Retrieval-Augmented Generation Framework for Long-Form Biomedical Question Answering
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)
Credible Plan-Driven RAG Method for Multi-Hop Question Answering
by: Zhang, Ningning, et al.
Published: (2025)
by: Zhang, Ningning, et al.
Published: (2025)
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
by: Li, Jiyao, et al.
Published: (2024)
by: Li, Jiyao, et al.
Published: (2024)
Bridging Language Gaps with Adaptive RAG: Improving Indonesian Language Question Answering
by: Christian, William, et al.
Published: (2025)
by: Christian, William, et al.
Published: (2025)
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
by: Chen, Xiusi, et al.
Published: (2023)
by: Chen, Xiusi, et al.
Published: (2023)
SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
by: Yu, Rui, et al.
Published: (2026)
by: Yu, Rui, et al.
Published: (2026)
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
by: Min, Dehai, et al.
Published: (2024)
by: Min, Dehai, et al.
Published: (2024)
Reading Between the Timelines: RAG for Answering Diachronic Questions
by: Lau, Kwun Hang, et al.
Published: (2025)
by: Lau, Kwun Hang, et al.
Published: (2025)
Similar Items
-
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum
by: Haque, Nashrah, et al.
Published: (2024) -
GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering
by: Zhang, Tianyi, et al.
Published: (2026) -
SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
by: Zhong, Kezhen, et al.
Published: (2025) -
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
by: Xu, Ran, et al.
Published: (2025) -
LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation
by: Sobhan, Shadman, et al.
Published: (2025)