3 papers
cs.CL2024
AMPO: Automatic Multi-Branched Prompt Optimization
Sheng Yang, Yurong Wu, Yan Gao +10
Prompt engineering is very important to enhance the performance of large language models (LLMs). When dealing with complex issues, prompt engineers tend to distill multiple pattern…
cs.CL2024
StraGo: Harnessing Strategic Guidance for Prompt Optimization
Yurong Wu, Yan Gao, Bin Benjamin Zhu +6
Prompt engineering is pivotal for harnessing the capabilities of large language models (LLMs) across diverse applications. While existing prompt optimization methods improve prompt…
cs.AI2024
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents
Jinyang Li, Nan Huo, Yan Gao +7
Interactive Data Analysis, the collaboration between humans and LLM agents, enables real-time data exploration for informed decision-making. The challenges and costs of collecting…