Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics
Fuente:
arXiv
Saved in:
| Main Authors: | Xi, Yueqing, Bai, Yifan, Luo, Huasen, Wen, Weiliang, Liu, Hui, Li, Haoliang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
by: Li, Shuo, et al.
Published: (2023)
by: Li, Shuo, et al.
Published: (2023)
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)
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)
by: Shi, Yucheng, et al.
Published: (2023)
Iterative Multimodal Retrieval-Augmented Generation for Medical Question Answering
by: Chen, Xupeng, et al.
Published: (2026)
by: Chen, Xupeng, et al.
Published: (2026)
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)
by: Sun, Yushi, et al.
Published: (2025)
RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning
by: Xi, Meng, et al.
Published: (2025)
by: Xi, Meng, et al.
Published: (2025)
DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering
by: Chen, Haotian, et al.
Published: (2026)
by: Chen, Haotian, et al.
Published: (2026)
MuISQA: Multi-Intent Retrieval-Augmented Generation for Scientific Question Answering
by: Li, Zhiyuan, et al.
Published: (2025)
by: Li, Zhiyuan, et al.
Published: (2025)
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)
STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Retrieval Augmented Generation for Domain-specific Question Answering
by: Sharma, Sanat, et al.
Published: (2024)
by: Sharma, Sanat, et al.
Published: (2024)
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
by: He, Zhitao, et al.
Published: (2024)
by: He, Zhitao, et al.
Published: (2024)
Agentic Retrieval-Augmented Generation for Financial Document Question Answering
by: Shu, Yang, et al.
Published: (2026)
by: Shu, Yang, et al.
Published: (2026)
MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
by: Liu, Lihui, et al.
Published: (2025)
by: Liu, Lihui, et al.
Published: (2025)
Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
by: Zhao, Sen, et al.
Published: (2026)
by: Zhao, Sen, et al.
Published: (2026)
Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
by: Wang, Changjian, et al.
Published: (2025)
by: Wang, Changjian, 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)
Augmenting Question Answering with A Hybrid RAG Approach
by: Yang, Tianyi, et al.
Published: (2026)
by: Yang, Tianyi, et al.
Published: (2026)
Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
by: Dadopoulos, Michail, et al.
Published: (2025)
by: Dadopoulos, Michail, et al.
Published: (2025)
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)
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)
Self-MedRAG: a Self-Reflective Hybrid Retrieval-Augmented Generation Framework for Reliable Medical Question Answering
by: Ryan, Jessica, et al.
Published: (2026)
by: Ryan, Jessica, et al.
Published: (2026)
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
by: An, Kaikai, et al.
Published: (2024)
by: An, Kaikai, et al.
Published: (2024)
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
by: Bai, Yang, et al.
Published: (2025)
by: Bai, Yang, et al.
Published: (2025)
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
by: Stuhlmann, Linus, et al.
Published: (2025)
by: Stuhlmann, Linus, et al.
Published: (2025)
Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering
by: Ge, Xueren, et al.
Published: (2025)
by: Ge, Xueren, et al.
Published: (2025)
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation
by: Saba, Walid, et al.
Published: (2024)
by: Saba, Walid, et al.
Published: (2024)
MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering
by: Wu, Hui, et al.
Published: (2026)
by: Wu, Hui, et al.
Published: (2026)
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check
by: Ye, Linhao, et al.
Published: (2024)
by: Ye, Linhao, et al.
Published: (2024)
Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering
by: Ko, Ting-Wen, et al.
Published: (2025)
by: Ko, Ting-Wen, et al.
Published: (2025)
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
by: Zhang, Xiaoming, et al.
Published: (2024)
by: Zhang, Xiaoming, et al.
Published: (2024)
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
by: Ngo, Nghia Trung, et al.
Published: (2024)
by: Ngo, Nghia Trung, et al.
Published: (2024)
Efficient Medical Question Answering with Knowledge-Augmented Question Generation
by: Khlaut, Julien, et al.
Published: (2024)
by: Khlaut, Julien, et al.
Published: (2024)
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
by: Xu, Zhentao, et al.
Published: (2024)
by: Xu, Zhentao, et al.
Published: (2024)
MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
by: Kwon, Daeyong, et al.
Published: (2025)
by: Kwon, Daeyong, et al.
Published: (2025)
Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
by: Ko, Youmin, et al.
Published: (2025)
by: Ko, Youmin, et al.
Published: (2025)
HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
by: Sun, Duolin, et al.
Published: (2025)
by: Sun, Duolin, et al.
Published: (2025)
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain
by: Pipitone, Nicholas, et al.
Published: (2024)
by: Pipitone, Nicholas, et al.
Published: (2024)
Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning
by: Cai, Tianhui, et al.
Published: (2024)
by: Cai, Tianhui, et al.
Published: (2024)
Similar Items
-
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
by: Li, Shuo, et al.
Published: (2023) -
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
by: Wiratunga, Nirmalie, et al.
Published: (2024) -
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023) -
Iterative Multimodal Retrieval-Augmented Generation for Medical Question Answering
by: Chen, Xupeng, et al.
Published: (2026) -
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)