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cs.CL2025
DelvePO: Direction-Guided Self-Evolving Framework for Flexible Prompt Optimization
Tao Tao, Guanghui Zhu, Lang Guo +3
Prompt Optimization has emerged as a crucial approach due to its capabilities in steering Large Language Models to solve various tasks. However, current works mainly rely on the ra…
cs.CL2025
Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework
Zucheng Liang, Wenxin Wei, Kaijie Zhang +1
Accurately answering complex questions has consistently been a significant challenge for Large Language Models (LLMs). To address this, this paper proposes a multi-hop question dec…