1 citations · 1 across the 7 of their papers we have counts for
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EvoGUI: An Evolution-Aware Benchmark for GUI State-Transition Understanding
Yaohan Yang, Minglei Shi, Borui Zhang +2
GUI agents must reason about how actions transform interface states, but end-to-end success rates entangle this ability with perception, grounding, planning, and recovery. We intro…
BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design
Yifu Ding, Xianglong Liu, Shenghao Jin +2
Ultra low-bit quantization brings substantial efficiency for Transformer-based models, but the accuracy degradation and limited GPU support hinder its wide usage. In this paper, we…
Attention at Rest Stays at Rest: Breaking Visual Inertia to Mitigate Relation Hallucinations
Boyang Gong, Yu Zheng, Fanye Kong +2
While multimodal large language models demonstrate strong entity-level perception, faithfully grounding relational interactions between objects remains a persistent challenge. Alth…
AdaZoom-GUI: Adaptive Zoom-based GUI Grounding with Instruction Refinement
Siqi Pei, Liang Tang, Tiaonan Duan +9
GUI grounding is a critical capability for vision-language models (VLMs) that enables automated interaction with graphical user interfaces by locating target elements from natural…