A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions | Paper Citation Record

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ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models cites this paper.

ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 9

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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 150

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POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications cites this paper.

POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 15

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Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation cites this paper.

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 8

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LLM-Land: Large Language Models for Context-Aware Drone Landing cites this paper.

LLM-Land: Large Language Models for Context-Aware Drone Landing A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 25

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mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs cites this paper.

mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 9

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Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents cites this paper.

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 3

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Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps cites this paper.

Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 12

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Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP cites this paper.

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 8

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Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 11

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HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs cites this paper.

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 14

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LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs cites this paper.

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 20

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Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation cites this paper.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 10

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LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction cites this paper.

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 15

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Performance and Practical Considerations of Large and Small Language Models in Clinical Decision Support in Rheumatology cites this paper.

Performance and Practical Considerations of Large and Small Language Models in Clinical Decision Support in Rheumatology A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 11

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VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation cites this paper.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 16

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Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs cites this paper.

Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 21

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Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 244

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SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval cites this paper.

SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 10

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MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems cites this paper.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 20

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ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking cites this paper.

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 10

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Towards End-to-End Model-Agnostic Explanations for RAG Systems cites this paper.

Towards End-to-End Model-Agnostic Explanations for RAG Systems A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 4

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Less LLM, More Documents: Searching for Improved RAG cites this paper.

Less LLM, More Documents: Searching for Improved RAG A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 8

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MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts cites this paper.

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 9

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End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering cites this paper.

End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 16

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Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems cites this paper.

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 6

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PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis cites this paper.

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 35

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PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis cites this paper.

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 35

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Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents cites this paper.

Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 10

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CrossTraffic: An Open-Source Framework for Reproducible and Executable Transportation Analysis and Knowledge Management cites this paper.

CrossTraffic: An Open-Source Framework for Reproducible and Executable Transportation Analysis and Knowledge Management A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 46

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Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research cites this paper.

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 35

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A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case cites this paper.

A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 50

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TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Data cites this paper.

TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Data A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 25

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ARIS: Agentic and Relationship Intelligence System for Social Robots cites this paper.

ARIS: Agentic and Relationship Intelligence System for Social Robots A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 11

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Why Retrieval-Augmented Generation Fails: A Graph Perspective cites this paper.

Why Retrieval-Augmented Generation Fails: A Graph Perspective A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 24

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DOTRAG: Retrieval-Time Reasoning Along Paths cites this paper.

DOTRAG: Retrieval-Time Reasoning Along Paths A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 7

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Qiskit Code Migration with LLMs cites this paper.

Qiskit Code Migration with LLMs A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 99

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HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning cites this paper.

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 81

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GRACE-RAG: Governed Retrieval Architecture for Canonical Evidence Synthesis, Enabling Lightweight Deployment in Closed-Domain Institutional Settings cites this paper.

GRACE-RAG: Governed Retrieval Architecture for Canonical Evidence Synthesis, Enabling Lightweight Deployment in Closed-Domain Institutional Settings A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 12

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Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory cites this paper.

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 15

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Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting cites this paper.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 47

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PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling cites this paper.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 83

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HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answering cites this paper.

HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answering A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

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Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings cites this paper.

Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 15

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The Deliberative Deficit: An Empirical Critique of LLMs in Democratic Discourse cites this paper.

The Deliberative Deficit: An Empirical Critique of LLMs in Democratic Discourse A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 249

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