AINeutralarXiv – CS AI · Apr 156/10
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Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting
Researchers propose a graph-based soft prompting framework that enables LLMs to reason over incomplete knowledge graphs by processing subgraph structures rather than explicit node paths, achieving state-of-the-art results on multi-hop question-answering benchmarks while reducing computational costs through a two-stage inference approach.