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Theseus in the Graph: Towards Traceable Multi-Hop Graph Navigation
Multi-Hop Knowledge Graph Question Answering (KGQA) tasks require models to assemble relational evidence along paths in a KG to answer natural-language questions. However, existing KGQA systems typically focus on predicting the final answer without explicitly modeling or validating the intermediate reasoning steps, obscuring whether the correct answers arise from faithful multi-hop reasoning. To address this limitation, we re-frame multi-hop KGQA as a question-conditioned graph navigation problem. We refer to this formulation as THESEUS - Traceable Hop-wise Evidence SEarch in a Unified Semanti
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- arXiv · AI, language, vision and robotics · 2026-09-13T14:06:43.000Z
First collected: 2026-09-20T12:21:05.240Z. This is not the publication date.