arXiv cs.CLPaper
NS-ST-GraphRAG: Neuro-Symbolic Spatio-Temporal GraphRAG for Literary Knowledge Processing
The problem is real: classical texts have answers that depend on when and where events happen, and standard RAG fails at that. The solution is technically sound, but the benchmark itself (Red-Chamber-QA) is the more useful contribution. For builders working on document understanding or long-form reasoning, the spatio-temporal graph structure could transfer. The literary domain keeps it niche.