Seed-Anchored Budget-Bounded Graph Rendering for Question Answering on Industry-Standard Power-Grid Information and Exchange Models
eess.SY, cs.AI, cs.IR, cs.SY
Submitted: 2026-09-02
Updated: 2026-09-02
Terminology
Sources
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- LightRAG: Simple and Fast Retrieval-Augmented Generation
- An Intelligent Question Answering System based on Power Knowledge Graph
- Are Large Language Models Effective Knowledge Graph Constructors?
- Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
- AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
- When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
- Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on a Math Textbook
- Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
- Retrieval-Augmented Generation with Graphs (GraphRAG)
- Benchmarking Vector, Graph and Hybrid Retrieval Augmented Generation (RAG) Pipelines for Open Radio Access Networks (ORAN)
- GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance
- ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models
- ContextRAG: Extraction-Free Hierarchical Graph Construction for Retrieval-Augmented Generation
- Reliable Graph-RAG for Codebases: AST-Derived Graphs vs LLM-Extracted Knowledge Graphs
- Lost in the Middle: How Language Models Use Long Contexts
- GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction
- Qwen2.5 Technical Report
- MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
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