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- Seeing the Forest Through the Trees: Knowledge Retrieval for . . .
We introduce SciTreeRAG, a knowledge-retrieval method that leverages the hierarchical and broadly uniform structure of LHCb articles to enable focused and contextually rich retrieval while avoiding fragmenting information
- Distribution of response quality grades across BASERAG, SCITREERAG . . .
Distribution of response quality grades across BASERAG, SCITREERAG without diffusion, and SCITREERAG with diffusion systems evaluated on the HFLAV dataset
- Seeing the Forest Through the Trees: Knowledge Retrieval for . . .
In this work I utilize the hierarchical organization of experimental physics articles to build a tree representation of the corpus, and present the SciTreeRAG system which leverages this structure with the aim of constructing contexts more focused and contextually rich than a standard RAG
- Seeing the Forest Through the Trees: Knowledge Retrieval for . . .
Here, we utilize the hierarchical organization of experimental physics articles to build a tree representation of the corpus, and present the SciTreeRAG system that uses this structure to create contexts that are more focused and contextually rich than standard RAG
- Seeing the Forest Through the Trees: Knowledge Retrieval for . . .
This work utilizes the hierarchical organization of experimental physics articles to build a tree representation of the corpus, and presents the SciTreeRAG system, a retrieval system that uses this structure to create contexts that are more focused and contextually rich than standard RAG
- Seeing the Forest Through the Trees: Knowledge Retrieval for . . .
Here, we utilize the hierarchical organization of experimental physics articles to build a tree representation of the corpus, and present the SciTreeRAG system that uses this structure to create
- GitHub - HKUDS LightRAG: [EMNLP2025] LightRAG: Simple and Fast . . .
[2025 06]🎯 [New Release] Our team has released RAG-Anything — an All-in-One Multimodal RAG system for seamless processing of text, images, tables, and equations
- Retrieval Augmented Generation Evaluation in the Era of
In response, this paper provides a comprehensive survey of RAG evaluation methods and frameworks, systematically reviewing traditional and emerging evaluation approaches, for system performance, factual accuracy, safety, and computational efficiency in the LLM era
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