Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Hao, Feng, Yifan, Li, Ruoxue, Xue, Rundong, Hou, Xingliang, Tian, Zhiqiang, Gao, Yue, Du, Shaoyi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
by: Feng, Yifan, et al.
Published: (2025)
by: Feng, Yifan, et al.
Published: (2025)
IGMiRAG: Intuition-Guided Retrieval-Augmented Generation with Adaptive Mining of In-Depth Memory
by: Hou, Xingliang, et al.
Published: (2026)
by: Hou, Xingliang, et al.
Published: (2026)
Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation
by: Huang, Rizhuo, et al.
Published: (2026)
by: Huang, Rizhuo, et al.
Published: (2026)
MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers
by: Guo, Zhihan, et al.
Published: (2026)
by: Guo, Zhihan, et al.
Published: (2026)
Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)
by: Jiao, Shuguang, et al.
Published: (2026)
CogPlanner: Unveiling the Potential of Agentic Multimodal Retrieval Augmented Generation with Planning
by: Yu, Xiaohan, et al.
Published: (2025)
by: Yu, Xiaohan, et al.
Published: (2025)
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)
by: Guo, Jinyu, et al.
Published: (2025)
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
by: Feng, Yifan, et al.
Published: (2024)
by: Feng, Yifan, et al.
Published: (2024)
DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026)
by: Zeng, Xingyuan, et al.
Published: (2026)
Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)
by: Bevara, Ravi, et al.
Published: (2025)
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
by: Jiang, Yi, et al.
Published: (2025)
by: Jiang, Yi, et al.
Published: (2025)
AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
by: Hou, Yanning, et al.
Published: (2026)
by: Hou, Yanning, et al.
Published: (2026)
FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
by: Zhang, Zhuocheng, et al.
Published: (2025)
by: Zhang, Zhuocheng, et al.
Published: (2025)
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)
by: Zhang, Yucheng, et al.
Published: (2024)
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models
by: Feng, Hui, et al.
Published: (2025)
by: Feng, Hui, et al.
Published: (2025)
GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
by: Duan, Xinyi, et al.
Published: (2026)
by: Duan, Xinyi, et al.
Published: (2026)
Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track
by: Upadhyay, Shivani, et al.
Published: (2026)
by: Upadhyay, Shivani, et al.
Published: (2026)
HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)
by: Madhu, Hiren, et al.
Published: (2026)
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
by: Chen, Yuxuan, et al.
Published: (2025)
by: Chen, Yuxuan, et al.
Published: (2025)
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)
by: Thakur, Ayush, et al.
Published: (2024)
Is Relevance Propagated from Retriever to Generator in RAG?
by: Tian, Fangzheng, et al.
Published: (2025)
by: Tian, Fangzheng, et al.
Published: (2025)
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs
by: Xu, Chuan, et al.
Published: (2025)
by: Xu, Chuan, et al.
Published: (2025)
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers
by: Zhang, Zhuocheng, et al.
Published: (2025)
by: Zhang, Zhuocheng, et al.
Published: (2025)
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
by: Li, Haitao, et al.
Published: (2025)
by: Li, Haitao, et al.
Published: (2025)
UniRAG: Universal Retrieval Augmentation for Large Vision Language Models
by: Sharifymoghaddam, Sahel, et al.
Published: (2024)
by: Sharifymoghaddam, Sahel, et al.
Published: (2024)
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
by: Agrawal, Garima, et al.
Published: (2024)
by: Agrawal, Garima, et al.
Published: (2024)
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
LightRAG: Simple and Fast Retrieval-Augmented Generation
by: Guo, Zirui, et al.
Published: (2024)
by: Guo, Zirui, et al.
Published: (2024)
TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)
by: Fan, Yixing, et al.
Published: (2025)
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
by: Wang, Ke, et al.
Published: (2025)
by: Wang, Ke, et al.
Published: (2025)
CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion
by: Zhang, Sheng, et al.
Published: (2025)
by: Zhang, Sheng, et al.
Published: (2025)
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
by: Zerhoudi, Saber, et al.
Published: (2024)
by: Zerhoudi, Saber, et al.
Published: (2024)
Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)
by: Han, Haoyu, et al.
Published: (2024)
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
by: Zhang, Chao, et al.
Published: (2025)
by: Zhang, Chao, et al.
Published: (2025)
HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
by: Yan, Guohang, et al.
Published: (2025)
by: Yan, Guohang, et al.
Published: (2025)
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
by: Wang, Nengbo, et al.
Published: (2025)
by: Wang, Nengbo, et al.
Published: (2025)
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
by: Chang, Chia-Yuan, et al.
Published: (2024)
by: Chang, Chia-Yuan, et al.
Published: (2024)
RAG-Fusion: a New Take on Retrieval-Augmented Generation
by: Rackauckas, Zackary
Published: (2024)
by: Rackauckas, Zackary
Published: (2024)
Towards FairRAG: Preventing Representational Harm in Retrieval-Augmented Generation by Enforcing Fair Exposure at Retrieval Time
by: Tikoo, Riddhi
Published: (2026)
by: Tikoo, Riddhi
Published: (2026)
Similar Items
-
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
by: Feng, Yifan, et al.
Published: (2025) -
IGMiRAG: Intuition-Guided Retrieval-Augmented Generation with Adaptive Mining of In-Depth Memory
by: Hou, Xingliang, et al.
Published: (2026) -
Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation
by: Huang, Rizhuo, et al.
Published: (2026) -
MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers
by: Guo, Zhihan, et al.
Published: (2026) -
Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)