Search plays a fundamental role in problem-solving across various domains, with most real-world decision-making problems being solvable through systematic search. Drawing inspiration from recent discussions on search and learning, we systematically explore the complementary relationship between search and Large Languag...
Min-hua Lin, Hui Liu, Xian-Feng Tang et al.· ACM Transactions on Knowledg...· 0 citations
Graph Foundation Models (GFMs) on text-attributed graphs (TAGs) align graph representations with language semantics to support transferable graph learning. Despite these advantages, the backdoor vulnerability of GFMs on TAGs remains insufficiently understood, especially under graph-language alignment, where graph and t...
Min-hua Lin, Zhi-Cheng Gao, Yilong Wang et al.· 0 citations
Retrieval-augmented generation (RAG) is widely used to mitigate hallucination issues in large language models (LLMs) and multimodal large language models (MLLMs). In particular, knowledge graph (KG)-based RAG leverages structured knowledge to provide (M)LLMs with high-quality external information. Building on these wor...
Zongyu Wu, Yilong Wang, Xiaochen Wang et al.· 0 citations
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