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Author

Suhang Wang

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Aug 2026

How Far Are LLMs from Real Search: Rethinking the Complementary Roles of Search and Learning

The analysis reveals that while current LLMs struggle with efficient search in complex problems, incorporating systematic search strategies significantly enhances their problem-solving capabilities, highlighting the need for improving LLMs’ search abilities for real-world applications.

Min-hua Lin, Hui Liu, Xian-Feng Tang et al. · 1 citation
Conference Open access 2026

Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations

This work presents the first systematic survey of graph-assisted LLMs from the perspective of how graph structures mitigate LLMs’ limitations, and introduces a taxonomy spanning Graph-Assisted Knowledge Augmentation, Graph-Assisted Reasoning and Planning, and Graph-Assisted LLM Collaboration.

Haitong Luo, Fali Wang, Weiyao Zhang et al. · 2 citations

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