{"total":77,"rows":[{"id":"2408.08921","title":"Graph Retrieval-Augmented Generation: A Survey","created":"2024-08-15","cited_by_count":324,"area":"rag"},{"id":"2507.03724","title":"MemOS: A Memory OS for AI System","created":"2025-07-04","cited_by_count":138,"area":"rag"},{"id":"2501.13958","title":"A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models","created":"2025-01-21","cited_by_count":88,"area":"rag"},{"id":"2502.01549","title":"VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos","created":"2025-02-03","cited_by_count":77,"area":"rag"},{"id":"2409.13731","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","created":"2024-09-10","cited_by_count":67,"area":"rag"},{"id":"2410.04343","title":"Inference Scaling for Long-Context Retrieval Augmented Generation","created":"2024-10-06","cited_by_count":65,"area":"rag"},{"id":"2506.05690","title":"When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation","created":"2025-06-06","cited_by_count":48,"area":"rag"},{"id":"2502.01113","title":"GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation","created":"2025-02-03","cited_by_count":40,"area":"rag"},{"id":"2504.18070","title":"PropRAG: Guiding Retrieval with Beam Search over Proposition Paths","created":"2025-04-25","cited_by_count":23,"area":"rag"},{"id":"2504.10499","title":"Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey","created":"2025-04-08","cited_by_count":18,"area":"rag"},{"id":"2502.07223","title":"Graph RAG-Tool Fusion","created":"2025-02-11","cited_by_count":15,"area":"rag"},{"id":"2506.20963","title":"EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora","created":"2025-06-26","cited_by_count":15,"area":"rag"},{"id":"2510.13590","title":"RAG Meets Temporal Graphs: Time-Sensitive Modeling and Retrieval for Evolving Knowledge","created":"2025-10-15","cited_by_count":13,"area":"rag"},{"id":"2504.16787","title":"Credible Plan-Driven RAG Method for Multi-Hop Question Answering","created":"2025-04-23","cited_by_count":12,"area":"rag"},{"id":"2511.10523","title":"Convomem Benchmark: Why Your First 150 Conversations Don't Need RAG","created":"2025-11-13","cited_by_count":10,"area":"rag"},{"id":"2507.03226","title":"Towards Practical GraphRAG: Efficient Knowledge Graph Construction and Hybrid Retrieval at Scale","created":"2025-07-04","cited_by_count":9,"area":"rag"},{"id":"2510.13193","title":"ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG","created":"2025-10-15","cited_by_count":8,"area":"rag"},{"id":"2605.10114","title":"SkillRAE: Agent Skill-Based Context Compilation for Retrieval-Augmented Execution","created":"2026-05-11","cited_by_count":8,"area":"rag"},{"id":"2410.03780","title":"Reward-RAG: Enhancing RAG with Reward Driven Supervision","created":"2024-10-03","cited_by_count":7,"area":"rag"},{"id":"2411.00744","title":"CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG","created":"2024-11-01","cited_by_count":6,"area":"rag"},{"id":"2602.00296","title":"RAGRouter-Bench: A Dataset and Benchmark for Adaptive RAG Routing","created":"2026-01-30","cited_by_count":6,"area":"rag"},{"id":"2406.00638","title":"COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval","created":"2024-06-02","cited_by_count":4,"area":"rag"},{"id":"2506.09542","title":"KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs","created":"2025-06-11","cited_by_count":4,"area":"rag"},{"id":"2508.01290","title":"Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities","created":"2025-08-02","cited_by_count":4,"area":"rag"},{"id":"2510.08958","title":"EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory","created":"2025-10-10","cited_by_count":4,"area":"rag"},{"id":"2512.23959","title":"HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling","created":"2025-12-30","cited_by_count":4,"area":"rag"},{"id":"2506.11106","title":"PankRAG: Enhancing Graph Retrieval via Globally Aware Query Resolution and Dependency-Aware Reranking Mechanism","created":"2025-06-07","cited_by_count":3,"area":"rag"},{"id":"2506.22518","title":"Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation","created":"2025-06-26","cited_by_count":3,"area":"rag"},{"id":"2508.03553","title":"MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation","created":"2025-08-05","cited_by_count":3,"area":"rag"},{"id":"2603.19097","title":"DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering","created":"2026-03-19","cited_by_count":3,"area":"rag"},{"id":"2604.27852","title":"NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains","created":"2026-04-30","cited_by_count":3,"area":"rag"},{"id":"2412.06078","title":"Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG","created":"2024-12-08","cited_by_count":2,"area":"rag"},{"id":"2505.07618","title":"KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation","created":"2025-05-12","cited_by_count":2,"area":"rag"},{"id":"2506.13782","title":"XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation","created":"2025-06-10","cited_by_count":2,"area":"rag"},{"id":"2509.01238","title":"Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework","created":"2025-09-01","cited_by_count":2,"area":"rag"},{"id":"2510.11541","title":"Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation","created":"2025-10-13","cited_by_count":2,"area":"rag"},{"id":"2511.14096","title":"NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval","created":"2025-11-18","cited_by_count":2,"area":"rag"},{"id":"2604.20763","title":"Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation","created":"2026-04-22","cited_by_count":2,"area":"rag"},{"id":"2410.06121","title":"Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA","created":"2024-10-08","cited_by_count":1,"area":"rag"},{"id":"2507.16826","title":"A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models","created":"2025-07-07","cited_by_count":1,"area":"rag"},{"id":"2512.15922","title":"Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems","created":"2025-12-17","cited_by_count":1,"area":"rag"},{"id":"2602.05728","title":"CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering","created":"2026-02-05","cited_by_count":1,"area":"rag"},{"id":"2602.20926","title":"HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG","created":"2026-02-24","cited_by_count":1,"area":"rag"},{"id":"2603.01783","title":"GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation","created":"2026-03-02","cited_by_count":1,"area":"rag"},{"id":"2603.11501","title":"KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation","created":"2026-03-12","cited_by_count":1,"area":"rag"},{"id":"2605.00505","title":"LLM-Oriented Information Retrieval: A Denoising-First Perspective","created":"2026-05-01","cited_by_count":1,"area":"rag"},{"id":"2605.02967","title":"AutoRAGTuner: A Declarative Framework for Automatic Optimization of RAG Pipelines","created":"2026-05-03","cited_by_count":1,"area":"rag"},{"id":"2605.18760","title":"DOTRAG: Retrieval-Time Reasoning Along Paths","created":"2026-04-06","cited_by_count":1,"area":"rag"},{"id":"2606.00610","title":"MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation","created":"2026-05-30","cited_by_count":1,"area":"rag"},{"id":"2607.26497","title":"BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms","created":"2026-07-29","cited_by_count":1,"area":"rag"},{"id":"2608.15919","title":"Noesis: Bidirectional Graph-RAG with Adaptive Parallelism and Cross-Knowledge-Base Semantic Discovery","created":"2026-08-16","cited_by_count":1,"area":"rag"},{"id":"2508.21238","title":"Addressing accuracy and hallucination of LLMs in Alzheimer's disease research through knowledge graphs","created":"2025-08-28","cited_by_count":0,"area":"rag"},{"id":"2509.00449","title":"GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework","created":"2025-08-30","cited_by_count":0,"area":"rag"},{"id":"2601.04859","title":"A Navigational Approach for Comprehensive RAG via Traversal over Proposition Graphs","created":"2026-01-08","cited_by_count":0,"area":"rag"},{"id":"2601.11144","title":"Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration","created":"2026-01-16","cited_by_count":0,"area":"rag"},{"id":"2602.05152","title":"RAG without Forgetting: Continual Query-Infused Key Memory","created":"2026-02-05","cited_by_count":0,"area":"rag"},{"id":"2602.07525","title":"IGMiRAG: Intuition-Guided Retrieval-Augmented Generation with Adaptive Mining of In-Depth Memory","created":"2026-02-07","cited_by_count":0,"area":"rag"},{"id":"2603.23533","title":"MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG","created":"2026-03-08","cited_by_count":0,"area":"rag"},{"id":"2603.24925","title":"GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation","created":"2026-03-26","cited_by_count":0,"area":"rag"},{"id":"2604.20844","title":"AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation","created":"2026-02-10","cited_by_count":0,"area":"rag"},{"id":"2605.31010","title":"MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation","created":"2026-05-29","cited_by_count":0,"area":"rag"},{"id":"2606.06003","title":"Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs","created":"2026-06-04","cited_by_count":0,"area":"rag"},{"id":"2606.20571","title":"Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices","created":"2026-04-27","cited_by_count":0,"area":"rag"},{"id":"2606.28327","title":"The Interference Gap: Comparing Retrieval Bounds in Human Memory and RAG Systems","created":"2026-05-09","cited_by_count":0,"area":"rag"},{"id":"2607.24838","title":"MedJudgeRAG: Option-Wise Evidence Judgment with Dynamic Knowledge Graphs for Medical MCQA","created":"2026-07-24","cited_by_count":0,"area":"rag"},{"id":"2608.21610","title":"Semantic Compression Trees: Multi-Resolution Knowledge Retrieval via Hierarchical Semantic Residuals","created":"2026-08-21","cited_by_count":0,"area":"rag"},{"id":"2608.21702","title":"From Association to Causation: Improving Retrieval Precision of Retrieval-Augmented Generation via Causal Relations and an Attention Mechanism","created":"2026-08-22","cited_by_count":0,"area":"rag"},{"id":"2608.21829","title":"Training a Knowledge Base: Supervised Structure Learning for Agent-Curated Document Stores","created":"2026-08-22","cited_by_count":0,"area":"rag"},{"id":"2608.25123","title":"SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation","created":"2026-08-25","cited_by_count":0,"area":"rag"},{"id":"2609.05139","title":"NS-ST-GraphRAG: Neuro-Symbolic Spatio-Temporal GraphRAG for Literary Knowledge Processing","created":"2026-09-04","cited_by_count":0,"area":"rag"},{"id":"2609.06127","title":"PAGR: Proof-Carrying Algebraic-Geometric Retrieval: A Quiver-, Provenance-, and Sheaf-Theoretic Framework for Grounded LLM Retrieval","created":"2026-09-05","cited_by_count":0,"area":"rag"},{"id":"2609.11065","title":"MOSAIC: Query-Aware Exploration Policy Adaptation for GraphRAG","created":"2026-09-10","cited_by_count":0,"area":"rag"},{"id":"2609.16073","title":"The Immutable Past: Formalizing State Mutability and Conflict Resolution in Mutable RAG","created":"2026-09-13","cited_by_count":0,"area":"rag"},{"id":"2609.23769","title":"PRISM-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Tobacco Product and Legislative Policy Reasoning","created":"2026-09-20","cited_by_count":0,"area":"rag"},{"id":"2609.36700","title":"Lost in Conversation or Lost in Translation? Diagnosing Multi-Turn Degradation in RAG","created":"2026-09-29","cited_by_count":0,"area":"rag"},{"id":"2610.11370","title":"RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees","created":"2026-10-08","cited_by_count":0,"area":"rag"},{"id":"2610.15463","title":"MemeLogos: Knowledge-Driven Retrieval-Augmented Reasoning for Harmful Meme Detection","created":"2026-10-11","cited_by_count":0,"area":"rag"}],"next_cursor":null}