4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CR2025
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning
Mengyuan Sun, Yu Li, Yuchen Liu +2
Multimodal contrastive learning models like CLIP have demonstrated remarkable vision-language alignment capabilities, yet their vulnerability to backdoor attacks poses critical sec…
cs.RO2024
Where to Fetch: Extracting Visual Scene Representation from Large Pre-Trained Models for Robotic Goal Navigation
Yu Li, Dayou Li, Chenkun Zhao +3
To complete a complex task where a robot navigates to a goal object and fetches it, the robot needs to have a good understanding of the instructions and the surrounding environment…
cs.CL2024★ 4 cited
Unlocking the Potential: Benchmarking Large Language Models in Water Engineering and Research
Boyan Xu, Liang Wen, Zihao Li +10
Recent advancements in Large Language Models (LLMs) have sparked interest in their potential applications across various fields. This paper embarked on a pivotal inquiry: Can exist…