4 papers
Enhancing Large Language Model Efficiencyvia Symbolic Compression: A Formal Approach Towards Interpretability
Lumen AI, Tengzhou No. 1 Middle School, Shihao Ji +6
Large language models (LLMs) face significant token efficiency bottlenecks in code generation and logical reasoning tasks, a challenge that directly impacts inference cost and mode…
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
Zizhang Wu, Xinyuan Chen, Fan Song +4
Pedestrian detection under valet parking scenarios is fundamental for autonomous driving. However, the presence of pedestrians can be manifested in a variety of ways and postures u…
LineMarkNet: Line Landmark Detection for Valet Parking
Zizhang Wu, Yuanzhu Gan, Tianhao Xu +2
We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving. To this end, we present a deep lin…
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving
Zizhang Wu, Chenxin Yuan, Hongyang Wei +2
Autonomous driving systems require many images for analyzing the surrounding environment. However, there is fewer data protection for private information among these captured image…