Author

Xiao-Fen Xing

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Preprint Oct 2026

Retrieving Complementary Evidence for Multi-Hop RAG with Semantic Gain Graphs

Multi-hop retrieval-augmented generation (RAG) requires finding documents whose evidence is useful in combination. Query relevance and graph connectivity help locate related content, but neither directly measures the additional information one document contributes given another. We introduce SG$^2$RAG, a framework that...

Ze-Liang Li, Xiao-Fen Xing, K. Guo et al. · 0 citations

Preprint Sep 2026

Test-Time Adaptation with Query-Dependent Residuals for Visual Document Retrieval

Visual document retrieval (VDR) systems depend on page embeddings computed before deployment, which makes adaptation difficult when encoder parameters or corpus re-encoding are unavailable. Rerankers provide useful relevance signals, but conventional reranking applies them only to selected queries and candidate pages....

Ze-Liang Li, Xiao-Fen Xing, K. Guo et al. · 0 citations

Preprint Sep 2026

Beyond Similarity through Zero-Token Geometric Graphs for Multi-Hop RAG

Results show that geometric structure can support efficient multi-hop evidence discovery without LLM-based graph construction, and introduce Geometric Gain Graph RAG, a document-only framework whose offline graph construction uses no LLM calls or generated tokens.

Ze-Liang Li, Xiao-Fen Xing, K. Guo et al. · 0 citations