Cover Image

HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zhe, Liao, Yusheng, Zhu, Zhiyuan, Li, Haolin, Liu, Hongcheng, Wang, Yanfeng, Wang, Yu
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

Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
by: Chen, Zhe, et al.
Published: (2025)

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts
by: Liao, Yusheng, et al.
Published: (2024)

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal
by: Wang, Yuhao, et al.
Published: (2024)

Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator
by: Liao, Yusheng, et al.
Published: (2024)

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation
by: Liao, Yusheng, et al.
Published: (2024)

Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm
by: Liu, Hongcheng, et al.
Published: (2024)

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
by: Wang, Yuhao, et al.
Published: (2024)

MedS$^3$: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision
by: Jiang, Shuyang, et al.
Published: (2025)

ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents
by: Liao, Yusheng, et al.
Published: (2024)

TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
by: Yu, Xiaohan, et al.
Published: (2025)

Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
by: Liao, Yusheng, et al.
Published: (2024)

Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs
by: Liu, Hongcheng, et al.
Published: (2026)

DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction
by: Li, Yiqi, et al.
Published: (2025)

DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
by: Guo, YiQiu, et al.
Published: (2025)

EfficientGraph-RAG: Structured Retrieval-State Management for Cross-Task Retrieval-Augmented Generation
by: Niu, Miaohe, et al.
Published: (2026)

M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation
by: Liu, Hongcheng, et al.
Published: (2024)

BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation
by: Jia, Zijun, et al.
Published: (2026)

Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains
by: Wang, Pingjie, et al.
Published: (2025)

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
by: Li, Xinze, et al.
Published: (2024)

YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
by: Yu, Deshui, et al.
Published: (2025)

TAIA: Large Language Models are Out-of-Distribution Data Learners
by: Jiang, Shuyang, et al.
Published: (2024)

RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
by: Jiang, Wentao, et al.
Published: (2025)

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models
by: Hu, Zhibo, et al.
Published: (2024)

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
by: Du, Mingxuan, et al.
Published: (2026)

RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
by: Wang, Yu, et al.
Published: (2025)

AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization
by: Liao, Yusheng, et al.
Published: (2026)

BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
by: Wang, Yuhao, et al.
Published: (2025)

SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
by: Huang, Yongfeng, et al.
Published: (2026)

P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task
by: Xu, Weiye, et al.
Published: (2024)

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
by: Yu, Tian, et al.
Published: (2024)

RARE: Retrieval-Augmented Reasoning Modeling
by: Wang, Zhengren, et al.
Published: (2025)

Decoding Linguistic Representations of Human Brain
by: Wang, Yu, et al.
Published: (2024)

HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference
by: Shi, Zhiyuan, et al.
Published: (2026)

HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
by: Yan, Guohang, et al.
Published: (2025)

BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation
by: Li, Xuan, et al.
Published: (2026)

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
by: Wang, Zilong, et al.
Published: (2024)

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
by: Lyu, Yuanjie, et al.
Published: (2024)

From Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation
by: Wang, Jiahao, et al.
Published: (2026)