{"total":50,"rows":[{"id":"2408.08921","title":"Graph Retrieval-Augmented Generation: A Survey","created":"2024-08-15","cited_by_count":324,"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":"2502.06864","title":"Knowledge Graph-Guided Retrieval Augmented Generation","created":"2025-02-08","cited_by_count":58,"area":"rag"},{"id":"2407.21059","title":"Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks","created":"2024-07-26","cited_by_count":42,"area":"rag"},{"id":"2503.10677","title":"A Survey on Knowledge-Oriented Retrieval-Augmented Generation","created":"2025-03-11","cited_by_count":36,"area":"rag"},{"id":"2502.09304","title":"KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG","created":"2025-02-13","cited_by_count":29,"area":"rag"},{"id":"2506.00054","title":"Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers","created":"2025-05-28","cited_by_count":27,"area":"rag"},{"id":"2406.05085","title":"Multi-Head RAG: Solving Multi-Aspect Problems with LLMs","created":"2024-06-07","cited_by_count":18,"area":"rag"},{"id":"2508.10391","title":"LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval","created":"2025-08-14","cited_by_count":16,"area":"rag"},{"id":"2410.02721","title":"Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization","created":"2024-10-03","cited_by_count":15,"area":"rag"},{"id":"2504.08893","title":"Knowledge Graph-extended Retrieval Augmented Generation for Question Answering","created":"2025-04-11","cited_by_count":14,"area":"rag"},{"id":"2502.13847","title":"DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue","created":"2025-02-19","cited_by_count":10,"area":"rag"},{"id":"2412.07618","title":"Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs","created":"2024-12-10","cited_by_count":9,"area":"rag"},{"id":"2505.16237","title":"Align-GRAG: Anchor and Rationale Guided Dual Alignment for Graph Retrieval-Augmented Generation","created":"2025-05-22","cited_by_count":9,"area":"rag"},{"id":"2507.22931","title":"Enhancing RAG Efficiency with Adaptive Context Compression","created":"2025-07-24","cited_by_count":8,"area":"rag"},{"id":"2510.08149","title":"AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents","created":"2025-10-09","cited_by_count":5,"area":"rag"},{"id":"2602.06616","title":"Confundo: Learning to Generate Robust Poison for Practical RAG Systems","created":"2026-02-06","cited_by_count":5,"area":"rag"},{"id":"2503.08890","title":"PlainQAFact: Retrieval-augmented Factual Consistency Evaluation Metric for Biomedical Plain Language Summarization","created":"2025-03-11","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":"2507.08945","title":"GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval","created":"2025-07-11","cited_by_count":4,"area":"rag"},{"id":"2409.20434","title":"QAEncoder: Towards Aligned Representation Learning in Question Answering Systems","created":"2024-09-30","cited_by_count":3,"area":"rag"},{"id":"2505.09945","title":"Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph","created":"2025-05-15","cited_by_count":3,"area":"rag"},{"id":"2601.17824","title":"OwlerLite: Scope- and Freshness-Aware Web Retrieval for LLM Assistants","created":"2026-01-25","cited_by_count":3,"area":"rag"},{"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":"2503.02922","title":"Optimizing open-domain question answering with graph-based retrieval augmented generation","created":"2025-03-04","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":"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":"2501.17397","title":"Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains","created":"2025-01-29","cited_by_count":1,"area":"rag"},{"id":"2503.07584","title":"Talking to GDELT Through Knowledge Graphs","created":"2025-03-10","cited_by_count":1,"area":"rag"},{"id":"2506.10030","title":"Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment","created":"2025-06-10","cited_by_count":1,"area":"rag"},{"id":"2506.19385","title":"CID-GraphRAG: Enhancing Multi-Turn Dialogue Systems through Dual-Pathway Retrieval of Conversation Flow and Context Semantics","created":"2025-06-24","cited_by_count":1,"area":"rag"},{"id":"2509.03527","title":"Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model","created":"2025-08-25","cited_by_count":1,"area":"rag"},{"id":"2509.19209","title":"A Knowledge Graph and a Tripartite Evaluation Framework Make Retrieval-Augmented Generation Scalable and Transparent","created":"2025-09-23","cited_by_count":1,"area":"rag"},{"id":"2511.07555","title":"LLM Optimization Unlocks Real-Time Pairwise Reranking","created":"2025-11-10","cited_by_count":1,"area":"rag"},{"id":"2603.24940","title":"Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system","created":"2026-03-26","cited_by_count":1,"area":"rag"},{"id":"2407.18044","title":"The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA","created":"2024-07-25","cited_by_count":0,"area":"rag"},{"id":"2505.11626","title":"THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering","created":"2025-05-16","cited_by_count":0,"area":"rag"},{"id":"2507.04706","title":"UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization","created":"2025-07-07","cited_by_count":0,"area":"rag"},{"id":"2507.07695","title":"KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities","created":"2025-07-10","cited_by_count":0,"area":"rag"},{"id":"2508.05664","title":"Enhancing Retrieval-Augmented Generation for Electric Power Industry Customer Support","created":"2025-08-01","cited_by_count":0,"area":"rag"},{"id":"2509.22325","title":"Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?","created":"2025-09-26","cited_by_count":0,"area":"rag"},{"id":"2510.13329","title":"Embedding-Based Context-Aware Reranker","created":"2025-10-15","cited_by_count":0,"area":"rag"},{"id":"2511.05297","title":"Building Specialized Software-Assistant ChatBot with Graph-Based Retrieval-Augmented Generation","created":"2025-11-07","cited_by_count":0,"area":"rag"},{"id":"2603.09999","title":"A Retrieval-Augmented Language Assistant for Unmanned Aircraft Safety Assessment and Regulatory Compliance","created":"2026-02-16","cited_by_count":0,"area":"rag"},{"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":"2605.25641","title":"Iterate Until Retrieved: Factual Nugget Optimization for Discoverable Continual Corrections in Agentic RAG","created":"2026-05-25","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":"2609.11390","title":"VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents","created":"2026-09-10","cited_by_count":0,"area":"rag"},{"id":"2609.16764","title":"RECTIFY: An Interactive Workbench for Post-Evaluation RAG Diagnosis, Repair, and Verification","created":"2026-09-15","cited_by_count":0,"area":"rag"},{"id":"2609.20754","title":"RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents","created":"2026-09-17","cited_by_count":0,"area":"rag"}],"next_cursor":null}