Summary of Strategic Chain-of-thought: Guiding Accurate Reasoning in Llms Through Strategy Elicitation, by Yu Wang et al.
Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitationby Yu Wang, Shiwan Zhao, Zhihu…
Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitationby Yu Wang, Shiwan Zhao, Zhihu…
Sketch: A Toolkit for Streamlining LLM Operationsby Xin Jiang, Xiang Li, Wenjia Ma, Xuezhi Fang,…
Language Models Benefit from Preparation with Elicited Knowledgeby Jiacan Yu, Hannah An, Lenhart K. SchubertFirst…
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Scienceby Menglin Liu, Ge ShiFirst…
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMsby Zhuo Li,…
Large Language Models Can Understanding Depth from Monocular Imagesby Zhongyi Xia, Tianzhao WuFirst submitted to…
Curriculum Prompting Foundation Models for Medical Image Segmentationby Xiuqi Zheng, Yuhang Zhang, Haoran Zhang, Hongrui…
Automating Knowledge Discovery from Scientific Literature via LLMs: A Dual-Agent Approach with Progressive Ontology Promptingby…
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Mannersby Ziyu Guo, Renrui Zhang,…
Spatio-Temporal Context Prompting for Zero-Shot Action Detectionby Wei-Jhe Huang, Min-Hung Chen, Shang-Hong LaiFirst submitted to…