Cover Image

DuetRAG: Collaborative Retrieval-Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiao, Dian, Cai, Li, Huang, Jingsheng, Zhang, Wenqiao, Tang, Siliang, Zhuang, Yueting
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization
by: Cao, Jie, et al.
Published: (2024)

Bridging Local Details and Global Context in Text-Attributed Graphs
by: Wang, Yaoke, et al.
Published: (2024)

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
by: Lin, Tianwei, et al.
Published: (2024)

Meta-Reflection: A Feedback-Free Reflection Learning Framework
by: Wang, Yaoke, et al.
Published: (2024)

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
by: Cao, Jie, et al.
Published: (2025)

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

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

Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese
by: Xu, Yunqi, et al.
Published: (2024)

Graph Retrieval-Augmented Generation: A Survey
by: Peng, Boci, et al.
Published: (2024)

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
by: Nguyen, Thang, et al.
Published: (2025)

Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
by: Bai, Yu, et al.
Published: (2024)

The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)
by: Cai, Yucheng, et al.
Published: (2024)

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
by: Nkhata, Gibson, et al.
Published: (2026)

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

HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations
by: Cao, Linxiao, et al.
Published: (2025)

Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
by: Chen, Xiangnan, et al.
Published: (2025)

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

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

Improving Large Models with Small models: Lower Costs and Better Performance
by: Chen, Dong, et al.
Published: (2024)

Align$^2$LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation
by: Huang, Hongzhe, et al.
Published: (2024)

GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation
by: Rappazzo, Brendan Hogan, et al.
Published: (2024)

Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation
by: Chen, Jianfa, 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)

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing
by: Li, Kuan, et al.
Published: (2025)

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations
by: Feng, Zhangchi, et al.
Published: (2024)

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation
by: Xiao, Yilin, et al.
Published: (2025)

HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
by: Zhang, Wenqiao, et al.
Published: (2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
by: Zeng, Shenglai, et al.
Published: (2024)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
by: Fu, Jia, 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)

StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generation
by: Abrahamyan, Davit, et al.
Published: (2024)

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
by: Jiang, Ziyan, et al.
Published: (2024)

AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation
by: Fang, Yixiong, et al.
Published: (2025)

HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation
by: Liu, Pei, et al.
Published: (2025)

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026)

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

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
by: Yao, Ruobing, et al.
Published: (2025)

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
by: An, Bang, et al.
Published: (2025)

CrossView Suite: Harnessing Cross-view Spatial Intelligence of MLLMs with Dataset, Model and Benchmark
by: Wang, Wei, et al.
Published: (2026)

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
by: Zou, Deyu, et al.
Published: (2025)