8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Iterate on an LLM, Serve on an SLM
Keegan Wang
As frontier LLMs gain more capabilities, the cost to run them also goes up. At the same time, small language models (SLMs) also gain more capabilities but have largely been able to…
cs.CV2026
VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
Hao Zhu, Shuo Jin, Wenbin Liao +4
Pursuing training-free open-vocabulary semantic segmentation in an efficient and generalizable manner remains challenging due to the deep-seated spatial bias in CLIP. To overcome t…
cs.CV2022★ 8 cited
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting
Hao Liu, Bin Chen, Bo Wang +3
Recently, many semi-supervised object detection (SSOD) methods adopt teacher-student framework and have achieved state-of-the-art results. However, the teacher network is tightly c…