2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
DemoShapley: Valuation of Demonstrations for In-Context Learning
Shan Xie, Man Luo, Chadly Daniel Stern +2
Large language models (LLMs) using in-context learning (ICL) excel in many tasks without task-specific fine-tuning. However, demonstration selection and ordering greatly impact ICL…
cs.CV2021★ 2 cited
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation
Tianxiao Gao, Wu Wei, Zhongbin Cai +4
Monocular depth estimation and semantic segmentation are two fundamental goals of scene understanding. Due to the advantages of task interaction, many works study the joint task le…