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Author

Xianfeng Tang

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Aug 2026

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

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. · 0 citations
#artificial intelligence Jun 2026

Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference

Retrospective Harness Optimization is introduced, a self-supervised method that optimizes the agent harness using only past trajectories and alters the agent's behavior patterns and sustains higher accuracy during long-horizon sessions.

Wenbo Pan, Shujie Liu, Chin-Yew Lin et al. · 8 citations · ⚡1
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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