Cover Image

Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ji, Yuelyu, Zhang, Hang, Wang, Yanshan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation
by: Ji, Yuelyu, et al.
Published: (2026)

Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering
by: Ji, Yuelyu, et al.
Published: (2025)

Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning
by: Ji, Yuelyu, et al.
Published: (2024)

Retrieval--Reasoning Processes for Multi-hop Question Answering: A Four-Axis Design Framework and Empirical Trends
by: Ji, Yuelyu, et al.
Published: (2026)

MRAG-Suite: A Diagnostic Evaluation Platform for Visual Retrieval-Augmented Generation
by: Ji, Yuelyu, et al.
Published: (2025)

What Makes a Medical Checker Trainable? Diagnosing Signal Collapse and Reward Hacking in Checker-Guided RAG for Biomedical QA
by: Ji, Yuelyu, et al.
Published: (2026)

DeepRAG: Integrating Hierarchical Reasoning and Process Supervision for Biomedical Multi-Hop QA
by: Ji, Yuelyu, et al.
Published: (2025)

Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
by: Zhu, Rongzhi, et al.
Published: (2025)

StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question Answering
by: Ji, Yuelyu, et al.
Published: (2026)

Mitigating the Risk of Health Inequity Exacerbated by Large Language Models
by: Ji, Yuelyu, 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)

Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
by: Sohn, Jiwoong, et al.
Published: (2024)

RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts
by: Ji, Yuelyu, et al.
Published: (2024)

PDF Retrieval Augmented Question Answering
by: Hoang, Thi Thu Uyen, et al.
Published: (2025)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation
by: Ji, Yuelyu, et al.
Published: (2025)

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning
by: Zhang, Hang, et al.
Published: (2026)

Mitigating Bias for Question Answering Models by Tracking Bias Influence
by: Ma, Mingyu Derek, et al.
Published: (2023)

Uncertainty Quantification in Retrieval Augmented Question Answering
by: Perez-Beltrachini, Laura, et al.
Published: (2025)

Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?
by: Wang, Dingmin, et al.
Published: (2025)

RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
by: Sivakumar, Aswini, et al.
Published: (2026)

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering
by: Sultana, Nusrat, et al.
Published: (2026)

Understanding Retrieval Augmentation for Long-Form Question Answering
by: Chen, Hung-Ting, et al.
Published: (2023)

Answerability in Retrieval-Augmented Open-Domain Question Answering
by: Abdumalikov, Rustam, et al.
Published: (2024)

Trustworthy Medical Question Answering: An Evaluation-Centric Survey
by: Wang, Yinuo, et al.
Published: (2025)

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
by: Cho, Jeonghun, et al.
Published: (2025)

Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering
by: Ge, Xueren, et al.
Published: (2025)

Efficient Medical Question Answering with Knowledge-Augmented Question Generation
by: Khlaut, Julien, et al.
Published: (2024)

RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
by: Han, Rujun, et al.
Published: (2024)

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
by: Chen, Zhuo, et al.
Published: (2024)

Federated Retrieval Augmented Generation for Multi-Product Question Answering
by: Shojaee, Parshin, et al.
Published: (2025)

Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation
by: Beauchemin, David, et al.
Published: (2024)

Evaluating the Retrieval Component in LLM-Based Question Answering Systems
by: Alinejad, Ashkan, et al.
Published: (2024)

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
by: Zhang, Zihan, et al.
Published: (2024)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
by: Wang, Yubo, et al.
Published: (2023)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
by: Ning, Yunfeng, et al.
Published: (2025)

MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering
by: DeHaven, Mitchell
Published: (2024)

Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis
by: Cheng, Zhiyuan, et al.
Published: (2026)

Generative Foundation Model for Structured and Unstructured Electronic Health Records
by: Sivarajkumar, Sonish, et al.
Published: (2025)