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RLM-on-KG: Heuristics First, LLMs When Needed: Adaptive Retrieval Control over Mention Graphs for Scattered Evidence
Arxiv
0+阅读 · 4月18日
GraphRAG-IRL: Personalized Recommendation with Graph-Grounded Inverse Reinforcement Learning and LLM Re-ranking
Arxiv
0+阅读 · 4月21日
XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation
Arxiv
0+阅读 · 4月27日
UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-Channel Fusion for Robust Multi-Hop Reasoning
Arxiv
0+阅读 · 3月31日
UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-Channel Fusion for Robust Multi-Hop Reasoning
Arxiv
0+阅读 · 3月26日
UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough
Arxiv
0+阅读 · 4月7日
GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs
Arxiv
0+阅读 · 3月23日
Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
Arxiv
0+阅读 · 3月14日
Core-based Hierarchies for Efficient GraphRAG
Arxiv
0+阅读 · 3月5日
Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG
Arxiv
0+阅读 · 3月7日
CUICurate: A GraphRAG-based Framework for Automated Clinical Concept Curation for NLP applications
Arxiv
0+阅读 · 2月20日
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
Arxiv
0+阅读 · 3月4日
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
Arxiv
0+阅读 · 2月2日
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
Arxiv
0+阅读 · 2月3日
Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
Arxiv
0+阅读 · 2月3日
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