2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Supervisory Prompt Training
Jean Ghislain Billa, Min Oh, Liang Du
The performance of Large Language Models (LLMs) relies heavily on the quality of prompts, which are often manually engineered and task-specific, making them costly and non-scalable…
cs.CV2021★ 2 cited
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection
Zhikang Zou, Xiaoqing Ye, Liang Du +6
Low-cost monocular 3D object detection plays a fundamental role in autonomous driving, whereas its accuracy is still far from satisfactory. In this paper, we dig into the 3D object…