{"total":80,"rows":[{"id":"2501.00309","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","created":"2024-12-31","cited_by_count":172,"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":"2502.14902","title":"PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths","created":"2025-02-18","cited_by_count":61,"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":"2510.14032","title":"Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding","created":"2025-10-15","cited_by_count":31,"area":"lr"},{"id":"2501.06713","title":"MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation","created":"2025-01-12","cited_by_count":28,"area":"rag"},{"id":"2506.18019","title":"Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities","created":"2025-06-22","cited_by_count":23,"area":"agents"},{"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":"2507.20804","title":"MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs","created":"2025-07-28","cited_by_count":16,"area":null},{"id":"2412.05547","title":"KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models","created":"2024-12-07","cited_by_count":12,"area":"rag"},{"id":"2505.23495","title":"Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking","created":"2025-05-29","cited_by_count":12,"area":"lr"},{"id":"2506.10508","title":"Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs","created":"2025-06-12","cited_by_count":9,"area":"lr"},{"id":"2504.05163","title":"Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness","created":"2025-04-07","cited_by_count":7,"area":"rag"},{"id":"2504.05478","title":"GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases","created":"2025-04-07","cited_by_count":7,"area":"lr"},{"id":"2510.15339","title":"AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction","created":"2025-10-17","cited_by_count":7,"area":"lr"},{"id":"2605.18775","title":"Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees","created":"2026-04-21","cited_by_count":7,"area":"lr"},{"id":"2508.00719","title":"DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS","created":"2025-08-01","cited_by_count":6,"area":null},{"id":"2510.07484","title":"Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs","created":"2025-10-08","cited_by_count":6,"area":"lr"},{"id":"2601.21162","title":"A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning","created":"2026-01-29","cited_by_count":6,"area":"rag"},{"id":"2506.09645","title":"Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering","created":"2025-06-11","cited_by_count":5,"area":"lr"},{"id":"2510.08825","title":"Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphs","created":"2025-10-09","cited_by_count":5,"area":"lr"},{"id":"2504.02112","title":"PolyG: Adaptive Graph Traversal for Diverse GraphRAG Questions","created":"2025-04-02","cited_by_count":4,"area":null},{"id":"2504.07103","title":"FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG","created":"2025-03-13","cited_by_count":4,"area":"rag"},{"id":"2509.03626","title":"Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE","created":"2025-09-03","cited_by_count":4,"area":"rag"},{"id":"2510.01530","title":"LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning","created":"2025-10-02","cited_by_count":4,"area":"lr"},{"id":"2511.07910","title":"Last Layer Logits to Logic: Empowering LLMs with Logic-Consistent Structured Knowledge Reasoning","created":"2025-11-11","cited_by_count":4,"area":"lr"},{"id":"2506.11040","title":"Large Language models for Time Series Analysis: Techniques, Applications, and Challenges","created":"2025-05-21","cited_by_count":3,"area":null},{"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":"2511.04473","title":"Ground-Truth Subgraphs for Better Training and Evaluation of Knowledge Graph Augmented LLMs","created":"2025-11-06","cited_by_count":3,"area":null},{"id":"2511.10240","title":"ProgRAG: Hallucination-Resistant Progressive Retrieval and Reasoning over Knowledge Graphs","created":"2025-11-13","cited_by_count":3,"area":"lr"},{"id":"2512.10999","title":"KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering","created":"2025-12-10","cited_by_count":3,"area":null},{"id":"2602.15353","title":"NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering","created":"2026-02-17","cited_by_count":3,"area":"lr"},{"id":"2603.06582","title":"Agentic SPARQL: Evaluating SPARQL-MCP-powered Intelligent Agents on the Federated KGQA Benchmark","created":"2026-01-20","cited_by_count":3,"area":"agents"},{"id":"2603.23512","title":"S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering","created":"2026-03-05","cited_by_count":3,"area":"rag"},{"id":"2606.13669","title":"Agents-K1: Towards Agent-native Knowledge Orchestration","created":"2026-06-11","cited_by_count":3,"area":"agents"},{"id":"2511.08364","title":"DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering","created":"2025-11-11","cited_by_count":2,"area":"lr"},{"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":"2603.21029","title":"KLDrive: Fine-Grained 3D Scene Reasoning for Autonomous Driving based on Knowledge Graph","created":"2026-03-22","cited_by_count":2,"area":"lr"},{"id":"2604.12176","title":"Evaluating Relational Reasoning in LLMs with REL","created":"2026-04-14","cited_by_count":2,"area":"lr"},{"id":"2604.27713","title":"Knowledge Graph Representations for LLM-Based Policy Compliance Reasoning","created":"2026-04-30","cited_by_count":2,"area":"lr"},{"id":"2605.10247","title":"Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning","created":"2026-05-11","cited_by_count":2,"area":"lr"},{"id":"2605.12061","title":"SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory","created":"2026-05-12","cited_by_count":2,"area":"agents"},{"id":"2412.20468","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","created":"2024-12-29","cited_by_count":1,"area":null},{"id":"2503.06567","title":"Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving","created":"2025-03-09","cited_by_count":1,"area":"rag"},{"id":"2510.15283","title":"Exemplar-Guided Planing: Enhanced LLM Agent for KGQA","created":"2025-10-17","cited_by_count":1,"area":"agents"},{"id":"2510.15552","title":"Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation","created":"2025-10-17","cited_by_count":1,"area":"lr"},{"id":"2512.09148","title":"Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment","created":"2025-12-09","cited_by_count":1,"area":"rag"},{"id":"2603.14828","title":"Toward Robust GraphRAG: Mitigating Retrieval Drift and Hallucination from Imperfect Knowledge Graphs","created":"2026-03-16","cited_by_count":1,"area":"lr"},{"id":"2604.01610","title":"GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation","created":"2026-04-02","cited_by_count":1,"area":"lr"},{"id":"2604.04969","title":"MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation","created":"2026-04-04","cited_by_count":1,"area":"mllm"},{"id":"2502.20854","title":"A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation","created":"2025-02-28","cited_by_count":0,"area":"rag"},{"id":"2503.20793","title":"Semantic Web and Software Agents -- A Forgotten Wave of Artificial Intelligence?","created":"2025-03-20","cited_by_count":0,"area":"agents"},{"id":"2506.17288","title":"SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection","created":"2025-06-15","cited_by_count":0,"area":"rag"},{"id":"2509.20935","title":"GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine","created":"2025-09-25","cited_by_count":0,"area":"lr"},{"id":"2510.08774","title":"Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2510.10806","title":"Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based Structures","created":"2025-10-12","cited_by_count":0,"area":"rag"},{"id":"2601.07754","title":"Structure First, Reason Next: Enhancing a Large Language Model using Knowledge Graph for Numerical Reasoning in Financial Documents","created":"2026-01-12","cited_by_count":0,"area":"lr"},{"id":"2601.19927","title":"Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey","created":"2026-01-10","cited_by_count":0,"area":"rag"},{"id":"2602.02834","title":"What Structural Inductive Bias Helps Transformers Reason Over Knowledge Graphs? A Study with Tabula RASA","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.09163","title":"FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases","created":"2026-02-09","cited_by_count":0,"area":"agents"},{"id":"2602.19240","title":"Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering","created":"2026-02-22","cited_by_count":0,"area":"lr"},{"id":"2602.22828","title":"TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought","created":"2026-02-26","cited_by_count":0,"area":"lr"},{"id":"2603.28773","title":"UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2604.22762","title":"Behavioral Intelligence Platforms: From Event Streams to Autonomous Insight via Probabilistic Journey Graphs, Behavioral Knowledge Extraction, and Grounded Language Generation","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2604.24623","title":"XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation","created":"2026-04-27","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":"2605.10791","title":"Reward on Path: Learning Intermediate Supervision Signals for Knowledge Graph Question Answering","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.11996","title":"BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts","created":"2026-05-12","cited_by_count":0,"area":"safety"},{"id":"2605.23753","title":"SeedER: Seed-Expand-Retrieve for Efficient Knowledge Graph Retrieval","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2607.11166","title":"Query-Focused Event Summarization: A Dataset and Benchmark","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.14561","title":"MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA","created":"2026-07-16","cited_by_count":0,"area":"lr"},{"id":"2607.27136","title":"KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval","created":"2026-07-29","cited_by_count":0,"area":"rag"},{"id":"2608.07954","title":"KGCache: Amortized Subgraph Retrieval for KG Reasoning with LLMs","created":"2026-08-08","cited_by_count":0,"area":"lr"},{"id":"2608.07994","title":"VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge","created":"2026-08-08","cited_by_count":0,"area":null},{"id":"2608.10176","title":"TRACE: Trustworthy Retrieval-Augmented Conversational Engine","created":"2026-08-10","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":"2609.34127","title":"STITCH-RAG: Spatio-Temporal Influence Tracing over Topic Hypergraphs for Multi-Hop Retrieval-Augmented Generation","created":"2026-09-28","cited_by_count":0,"area":"rag"},{"id":"2610.02373","title":"Hop-Decayed Influence: New Vulnerabilities of Structural Auxiliary Indexing in GraphRAG Pipelines with LLM","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.08388","title":"Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering","created":"2026-10-06","cited_by_count":0,"area":"lr"}],"next_cursor":null}