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Open access Sep 2026

Efficacy Evaluation and Optimization of RAG Knowledge Bases in the Oil and Gas Industry Using an LLM-as-a-Judge Mechanism

The increasing adoption of Retrieval-Augmented Generation (RAG) in the oil and gas industry has created a growing need for systematic evaluation of domain-specific knowledge bases, particularly with respect to retrieval failures, numerical and entity inconsistencies, knowledge timeliness, and unsupported generation. Th...

Tian-Xiang Yang, Yu Cao, Ying-Kai Ma et al. · 0 citations
Open access Aug 2026

Accurate and Interpretable Prediction of Exploration Input–Output Matching Under Data Scarcity: An Ensemble Learning Framework

Accurate prediction of input–output relationships in natural gas exploration is essential for improving exploration efficiency and optimizing investment allocation. However, this task is severely hindered by data sparsity and strong nonlinear characteristics inherent in oil and gas exploration systems, rendering conven...

Xiao Chen, Hui Liu, Weiyun Zhan et al. · 0 citations

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