Graph Large Language Models (GraphLLMs) enable powerful semantic understanding and reasoning over Text-Attributed Graphs (TAGs), while their semantic reasoning may exhibit vulnerabilities to perturbations in node text and graph structure under adversarial attack evaluation. Existing attacks typically construct textual...
Wen-Da Li, Tong-Ya Zheng, Shunyu Liu et al.· 0 citations
The results suggest that active, structure-preserving evidence seeking is a promising paradigm for open-domain table retrieval, and TableSeek, a structure-preserving agentic search framework for heterogeneous table corpora is presented.
Jia-Ming Tian, Li-Yao Li, Wen-Song Ye et al.· 0 citations
This work introduces TCR-Bench, a diagnostic benchmark for Table Content-level Answerability in RAG, and tests whether a lightweight two-stage pipeline, Answerability-Aware Reranking (AAR), applying direct query-table answerability judgment, can recover performance.
Jiaming Tian, Liyao Li, Wen-song Ye et al.· 0 citations
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