5 papers
MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification
Bo Zheng, Yudong Chen, Zihua Xiong +4
Tabular data forms the backbone of high-stakes decision systems in finance, healthcare, and beyond. Yet industrial tabular datasets are inherently difficult: high-dimensional, ridd…
PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimization
Renhong Huang, Ning Tang, Jiarong Xu +6
Social platforms serve as central hubs for information exchange, where user behaviors and platform interventions jointly shape opinions. However, intervention policies like recomme…
FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression
Yuke Zhu, Chi Xie, Shuang Liang +2
Recent advances on Multi-modal Large Language Models have demonstrated that high-resolution image input is crucial for model capabilities, especially for fine-grained tasks. Howeve…
Edge Wasserstein Distance Loss for Oriented Object Detection
Yuke Zhu, Yumeng Ruan, Zihua Xiong +1
Regression loss design is an essential topic for oriented object detection. Due to the periodicity of the angle and the ambiguity of width and height definition, traditional L1-dis…
RotaTR: Detection Transformer for Dense and Rotated Object
Zhu Yuke, Ruan Yumeng, Yang Lei +1
Detecting the objects in dense and rotated scenes is a challenging task. Recent works on this topic are mostly based on Faster RCNN or Retinanet. As they are highly dependent on th…