Papers with space science
SKRAG: A Retrieval-Augmented Generation Framework Guided by Reasoning Skeletons over Knowledge Graphs (2025.findings-emnlp)
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| Challenge: | Existing KG-based question answering frameworks face inefficient subgraph retrieval, limited reasoning capabilities, and high computational costs. |
| Approach: | They propose a Skeleton-guided RAG framework for knowledge graph question answering . SKRAG leverages a lightweight language model enhanced with the Finite State Machine constraint . |
| Outcome: | The proposed framework outperforms baselines and general-domain benchmarks on a KGQA dataset in the space science and utilization domain. |