{"total":59,"rows":[{"id":"2507.03724","title":"MemOS: A Memory OS for AI System","created":"2025-07-04","cited_by_count":138,"area":"rag"},{"id":"2507.21892","title":"Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning","created":"2025-07-29","cited_by_count":52,"area":"rag"},{"id":"2510.10114","title":"LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora","created":"2025-10-11","cited_by_count":49,"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":"2503.10150","title":"Retrieval-Augmented Generation with Hierarchical Knowledge","created":"2025-03-13","cited_by_count":47,"area":"rag"},{"id":"2503.12759","title":"RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning","created":"2025-03-17","cited_by_count":30,"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":"2504.01346","title":"RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking","created":"2025-04-02","cited_by_count":18,"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":"2509.00877","title":"EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes","created":"2025-08-31","cited_by_count":8,"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":"2505.02164","title":"Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use","created":"2025-05-04","cited_by_count":6,"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":"2602.01965","title":"Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation","created":"2026-02-02","cited_by_count":4,"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":"2510.07718","title":"SUBQRAG: Sub-Question Driven Dynamic Graph RAG","created":"2025-10-09","cited_by_count":3,"area":"rag"},{"id":"2601.16462","title":"Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval","created":"2026-01-23","cited_by_count":3,"area":"rag"},{"id":"2602.21553","title":"Revisiting RAG Retrievers: An Information Theoretic Benchmark","created":"2026-02-25","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":"2604.00901","title":"Experience as a Compass: Multi-agent RAG with Evolving Orchestration and Agent Prompts","created":"2026-04-01","cited_by_count":3,"area":"rag"},{"id":"2506.06331","title":"How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG","created":"2025-05-31","cited_by_count":2,"area":"rag"},{"id":"2509.18667","title":"TERAG: Token-Efficient Graph-Based Retrieval-Augmented Generation","created":"2025-09-23","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":"2511.18808","title":"HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations","created":"2025-11-24","cited_by_count":2,"area":"rag"},{"id":"2512.10422","title":"Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers","created":"2025-12-11","cited_by_count":2,"area":"rag"},{"id":"2601.06799","title":"CIRAG: Construction-Integration Retrieval and Adaptive Generation for Multi-hop Question Answering","created":"2026-01-11","cited_by_count":2,"area":"rag"},{"id":"2604.17458","title":"EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval","created":"2026-04-19","cited_by_count":2,"area":"rag"},{"id":"2508.20417","title":"KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval","created":"2025-08-28","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":"2602.02053","title":"WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora","created":"2026-02-02","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":"2605.27164","title":"Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering","created":"2026-05-26","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":"2609.05339","title":"Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability","created":"2026-09-04","cited_by_count":1,"area":"rag"},{"id":"2509.25530","title":"Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG","created":"2025-09-29","cited_by_count":0,"area":"rag"},{"id":"2510.16609","title":"Prior Knowledge Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods","created":"2025-10-18","cited_by_count":0,"area":"rag"},{"id":"2511.01802","title":"PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution","created":"2025-11-03","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":"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":"2603.24925","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":"2605.00529","title":"Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation","created":"2026-05-01","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":"2606.17856","title":"FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow","created":"2026-06-16","cited_by_count":0,"area":"rag"},{"id":"2606.18075","title":"A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented Generation","created":"2026-06-16","cited_by_count":0,"area":"rag"},{"id":"2606.23997","title":"ChartWalker: Benchmarking the Cross-Chart RAG Task with Hierarchical Knowledge Graphs","created":"2026-06-22","cited_by_count":0,"area":"rag"},{"id":"2606.30093","title":"Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs","created":"2026-06-29","cited_by_count":0,"area":"rag"},{"id":"2606.30133","title":"Query-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphs","created":"2026-06-29","cited_by_count":0,"area":"rag"},{"id":"2608.13160","title":"Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering","created":"2026-08-13","cited_by_count":0,"area":"rag"},{"id":"2609.05152","title":"Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG","created":"2026-09-04","cited_by_count":0,"area":"rag"},{"id":"2609.19622","title":"Beyond Similarity through Zero-Token Geometric Graphs for Multi-Hop RAG","created":"2026-09-17","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":"2609.37661","title":"Corpus-Guided Dual-Path Propagation for Graph Retrieval-Augmented Generation","created":"2026-09-29","cited_by_count":0,"area":"rag"},{"id":"2610.01767","title":"A Matryoshka Hierarchical RAG for Efficient Multi-Hop Question Answering","created":"2026-10-01","cited_by_count":0,"area":"rag"}],"next_cursor":null}