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.· ACM Transactions on Knowledg...· 1 citation
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.· arXiv.org· 8 citations· ⚡1
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.· Annual Meeting of the Associ...· 2 citations
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