1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2025★ 5 cited
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang, Tao Feng, Lilong Xue +3
This survey delves into the realm of Parameter-Efficient Fine-Tuning (PEFT) within the context of Foundation Models (FMs). PEFT, a cost-effective fine-tuning technique, minimizes p…
cs.AI2024★ 1 cited
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents
Xiao Liu, Tianjie Zhang, Yu Gu +27
Large Multimodal Models (LMMs) have ushered in a new era in artificial intelligence, merging capabilities in both language and vision to form highly capable Visual Foundation Agent…
q-bio.MN2014★ 1 cited
Simultaneous Optimization of Both Node and Edge Conservation in Network Alignment via WAVE
Yihan Sun, Joseph Crawford, Jie Tang +1
Network alignment can be used to transfer functional knowledge between conserved regions of different networks. Typically, existing methods use a node cost function (NCF) to comput…