4 papers · 2 filters
LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling
Zhihan Zhang, Xiang Pan, Hongchen Wei +1
Structural pruning techniques are essential for deploying multimodal large language models (MLLMs) across various hardware platforms, from edge devices to cloud servers. However, c…
RSFAKE-1M: A Large-Scale Dataset for Detecting Diffusion-Generated Remote Sensing Forgeries
Zhihong Tan, Jiayi Wang, Huiying Shi +3
Detecting forged remote sensing images is becoming increasingly critical, as such imagery plays a vital role in environmental monitoring, urban planning, and national security. Whi…
Training-Free Reasoning and Reflection in MLLMs
Hongchen Wei, Zhenzhong Chen
Recent advances in Reasoning LLMs (e.g., DeepSeek-R1 and OpenAI-o1) have showcased impressive reasoning capabilities via reinforcement learning. However, extending these capabiliti…
LongCaptioning: Unlocking the Power of Long Video Caption Generation in Large Multimodal Models
Hongchen Wei, Zhihong Tan, Yaosi Hu +2
Large Multimodal Models (LMMs) have demonstrated exceptional performance in video captioning tasks, particularly for short videos. However, as the length of the video increases, ge…