2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
Yibai Liu, Shihang Wang, Zeming Liu +5
Despite large language models (LLMs) have achieved impressive achievements across numerous tasks, supervised fine-tuning (SFT) remains essential for adapting these models to specia…
cs.CV2025★ 1 cited
Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
Yongchao Feng, Yajie Liu, Shuai Yang +13
Vision-Language Model (VLM) have gained widespread adoption in Open-Vocabulary (OV) object detection and segmentation tasks. Despite they have shown promise on OV-related tasks, th…
cs.RO2024★ 2 cited
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri, Junzhe Wang, Amirreza Payandeh +1
Humans excel at efficiently navigating through crowds without collision by focusing on specific visual regions relevant to navigation. However, most robotic visual navigation metho…