{"total":74,"rows":[{"id":"2403.03187","title":"Reliable, Adaptable, and Attributable Language Models with Retrieval","created":"2024-03-05","cited_by_count":73,"area":"rag"},{"id":"2504.14891","title":"Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey","created":"2025-04-21","cited_by_count":20,"area":"rag"},{"id":"2504.20734","title":"UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities","created":"2025-04-29","cited_by_count":20,"area":"rag"},{"id":"2412.04759","title":"REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments","created":"2024-12-06","cited_by_count":16,"area":"rag"},{"id":"2412.11854","title":"Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference","created":"2024-12-16","cited_by_count":15,"area":"rag"},{"id":"2409.17275","title":"On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains","created":"2024-09-12","cited_by_count":14,"area":"rag"},{"id":"2506.00232","title":"ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering","created":"2025-05-30","cited_by_count":11,"area":"rag"},{"id":"2502.20969","title":"TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval","created":"2025-02-28","cited_by_count":9,"area":"rag"},{"id":"2506.20821","title":"MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering","created":"2025-06-25","cited_by_count":9,"area":"rag"},{"id":"2503.01713","title":"SAGE: A Framework of Precise Retrieval for RAG","created":"2025-03-03","cited_by_count":8,"area":"rag"},{"id":"2409.08788","title":"Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling","created":"2024-09-13","cited_by_count":7,"area":"rag"},{"id":"2407.02994","title":"MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs","created":"2024-07-03","cited_by_count":6,"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":"2502.16573","title":"LawPal : A Retrieval Augmented Generation Based System for Enhanced Legal Accessibility in India","created":"2025-02-23","cited_by_count":6,"area":"rag"},{"id":"2410.14881","title":"Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation","created":"2024-10-18","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":"2412.13720","title":"Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models","created":"2024-12-18","cited_by_count":4,"area":"rag"},{"id":"2505.18458","title":"A Survey of LLM $\\times$ DATA","created":"2025-05-24","cited_by_count":4,"area":"rag"},{"id":"2506.01232","title":"Retrieval-Augmented Generation of Ontologies from Relational Databases","created":"2025-06-02","cited_by_count":4,"area":"rag"},{"id":"2409.15815","title":"AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support","created":"2024-09-24","cited_by_count":3,"area":"rag"},{"id":"2411.19804","title":"Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation","created":"2024-11-29","cited_by_count":3,"area":"rag"},{"id":"2503.09003","title":"Leveraging Retrieval Augmented Generative LLMs For Automated Metadata Description Generation to Enhance Data Catalogs","created":"2025-03-12","cited_by_count":3,"area":"rag"},{"id":"2504.04419","title":"Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications","created":"2025-04-06","cited_by_count":3,"area":"rag"},{"id":"2504.08930","title":"VectorLiteRAG: Latency-Aware and Fine-Grained Resource Partitioning for Efficient RAG","created":"2025-04-11","cited_by_count":3,"area":"rag"},{"id":"2505.17326","title":"VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question Answering","created":"2025-05-22","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":"2501.04635","title":"Knowledge Retrieval Based on Generative AI","created":"2025-01-08","cited_by_count":2,"area":"rag"},{"id":"2505.08445","title":"Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency","created":"2025-05-13","cited_by_count":2,"area":"rag"},{"id":"2505.19310","title":"Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking","created":"2025-05-25","cited_by_count":2,"area":"rag"},{"id":"2506.20009","title":"Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks","created":"2025-06-24","cited_by_count":2,"area":"rag"},{"id":"2507.23229","title":"Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems via Knowledge Asymmetry Exploitation","created":"2025-07-31","cited_by_count":2,"area":"rag"},{"id":"2508.02184","title":"Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation","created":"2025-08-04","cited_by_count":2,"area":"rag"},{"id":"2510.00261","title":"Retrieval-Augmented Generation for Electrocardiogram-Language Models","created":"2025-09-30","cited_by_count":2,"area":"rag"},{"id":"2510.27080","title":"Adapting Large Language Models to Emerging Cybersecurity using Retrieval Augmented Generation","created":"2025-10-31","cited_by_count":2,"area":"rag"},{"id":"2512.00804","title":"Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval","created":"2025-11-30","cited_by_count":2,"area":"rag"},{"id":"2410.12890","title":"REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models","created":"2024-10-16","cited_by_count":1,"area":"rag"},{"id":"2502.19280","title":"Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing","created":"2025-02-26","cited_by_count":1,"area":"rag"},{"id":"2509.00646","title":"RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring","created":"2025-08-31","cited_by_count":1,"area":"rag"},{"id":"2510.05327","title":"DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base","created":"2025-10-06","cited_by_count":1,"area":"rag"},{"id":"2511.04560","title":"BanglaMedQA and BanglaMMedBench: Evaluating Retrieval-Augmented Generation Strategies for Bangla Biomedical Question Answering","created":"2025-11-06","cited_by_count":1,"area":"rag"},{"id":"2604.02259","title":"Retrieval-Augmented Question Answering over Scientific Literature for the Electron-Ion Collider","created":"2026-04-02","cited_by_count":1,"area":"rag"},{"id":"2605.15213","title":"An LLM-RAG Approach for Healthy Eating Index-Informed Personalized Food Recommendations","created":"2026-05-11","cited_by_count":1,"area":"rag"},{"id":"2606.18497","title":"Ghost Vectors: Soft-Deleted Embeddings Remain Reconstructible in HNSW Vector Databases","created":"2026-06-16","cited_by_count":1,"area":"rag"},{"id":"2609.02774","title":"CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation","created":"2026-09-02","cited_by_count":1,"area":"rag"},{"id":"2502.05782","title":"Quality Assurance for LLM-RAG Systems: Empirical Insights from Tourism Application Testing","created":"2025-02-09","cited_by_count":0,"area":"rag"},{"id":"2509.08338","title":"Retrieval-Augmented VLMs for Multimodal Melanoma Diagnosis","created":"2025-09-10","cited_by_count":0,"area":"rag"},{"id":"2510.27243","title":"Approximate Diverse $k$-nearest Neighbor Search in Vector Database","created":"2025-10-31","cited_by_count":0,"area":"rag"},{"id":"2511.02490","title":"BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring","created":"2025-11-04","cited_by_count":0,"area":"rag"},{"id":"2512.12458","title":"Breaking the Curse of Dimensionality: On the Stability of Modern Vector Retrieval","created":"2025-12-13","cited_by_count":0,"area":"rag"},{"id":"2601.06727","title":"Vextra: A Unified Middleware Abstraction for Heterogeneous Vector Database Systems","created":"2026-01-11","cited_by_count":0,"area":"rag"},{"id":"2601.09985","title":"FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems","created":"2026-01-15","cited_by_count":0,"area":"rag"},{"id":"2601.12658","title":"Augmenting Question Answering with A Hybrid RAG Approach","created":"2026-01-19","cited_by_count":0,"area":"rag"},{"id":"2602.11443","title":"Filtered Approximate Nearest Neighbor Search in Vector Databases: System Design and Performance Analysis","created":"2026-02-11","cited_by_count":0,"area":"rag"},{"id":"2603.09347","title":"The Virtuous Cycle: AI-Powered Vector Search and Vector Search-Augmented AI","created":"2026-03-10","cited_by_count":0,"area":"rag"},{"id":"2603.13275","title":"PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation","created":"2026-02-27","cited_by_count":0,"area":"rag"},{"id":"2603.21460","title":"When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models","created":"2026-03-23","cited_by_count":0,"area":"rag"},{"id":"2603.22184","title":"Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?","created":"2026-03-23","cited_by_count":0,"area":"rag"},{"id":"2603.22340","title":"Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces","created":"2026-03-21","cited_by_count":0,"area":"rag"},{"id":"2603.25186","title":"Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation","created":"2026-03-26","cited_by_count":0,"area":"rag"},{"id":"2604.16337","title":"HR-Agents: Using Multiple LLM-based Agents to Improve Q&A about Brazilian Labor Legislation","created":"2026-03-13","cited_by_count":0,"area":"rag"},{"id":"2604.20452","title":"HaS: Accelerating RAG through Homology-Aware Speculative Retrieval","created":"2026-04-22","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":"2605.26019","title":"Retrieval-Augmented Detection of Potentially Abusive Clauses in Chilean Terms of Service","created":"2026-05-25","cited_by_count":0,"area":"rag"},{"id":"2605.27445","title":"RAGe: A Retrieval-Augmented Generation Evaluation Framework","created":"2026-05-23","cited_by_count":0,"area":"rag"},{"id":"2606.15482","title":"Ricci-Filtration: Boosting Retrieval-Augmented Generation Reranker to Query-Answer Tasks by Discrete Ricci Flow","created":"2026-06-13","cited_by_count":0,"area":"rag"},{"id":"2606.28343","title":"The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents","created":"2026-06-01","cited_by_count":0,"area":"rag"},{"id":"2608.00054","title":"RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language Models","created":"2026-07-26","cited_by_count":0,"area":"rag"},{"id":"2608.03148","title":"Lightweight Chunk Selection for Mobile Retrieval-Augmented Generation","created":"2026-08-04","cited_by_count":0,"area":"rag"},{"id":"2608.09779","title":"KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Graph Construction and Context Retrieval with LLMs","created":"2026-08-10","cited_by_count":0,"area":"rag"},{"id":"2608.11030","title":"Self-Knowledge Retrieval Augmented Generation Framework for Patent Matching","created":"2026-08-11","cited_by_count":0,"area":"rag"},{"id":"2608.12812","title":"A Comprehensive Empirical Evaluation of Vector Database Systems for Approximate Nearest Neighbor Search: Performance, Quality, and Resource Trade-offs","created":"2026-08-13","cited_by_count":0,"area":"rag"},{"id":"2609.03857","title":"GRASP: Graph-Retrieval Automated Scoring Pipeline for Label-Free Multi-Topic Essay Grading","created":"2026-09-03","cited_by_count":0,"area":"rag"},{"id":"2609.14100","title":"RA-CoA: Training-free Fashion Image Captioning via Retrieval-Augmented Chain-of-Attributes","created":"2026-09-12","cited_by_count":0,"area":"rag"},{"id":"2610.16440","title":"ARMED: Adaptive Retrieval-Augmented Medication Recommendation","created":"2026-10-12","cited_by_count":0,"area":"rag"}],"next_cursor":null}