5 citations · 6 across the 3 of their papers we have counts for
7 papers
How GUI Agents Fail: GraceBench for Execution Stability Diagnosis
Ridong Zhang, Shuxian Liang, Chaoqun Wan +2
As GUI agents are increasingly deployed for mobile task automation, their reliability depends not only on final task outcomes, but also on whether they reach these outcomes through…
LED-BENCH: A Benchmark for Large-format Engineering Drawing Understanding
Ke Li, Tianyi Wang, Enning You +4
Real-world engineering drawings are often large-format and information-dense. Answering practical engineering questions therefore requires both fine-grained understanding of engine…
Human-Like Redundancy Resolution for Real-Time Bimanual Humanoid Teleoperation
Chao Tan, Ming Shin Cindy Sung, Shuxian Liang +3
Real-time bimanual humanoid teleoperation requires accurate wrist tracking while keeping arm configurations predictable. Because a 7-DoF arm admits multiple elbow configurations fo…
LIBERO-Industry: Benchmarking Robotic Manipulation under Industrial Process Constraints
Ming Shin Cindy Sung, Duan Leijiahao, Haoxiang Wang +9
Industrial manipulation in flexible manufacturing, e.g., high-mix, low-volume (HMLV) electronics assembly, requires robot policies to adapt to changing products and production cond…
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang +5
As the development and application of Large Language Models (LLMs) continue to advance rapidly, enhancing their trustworthiness and aligning them with human preferences has become…
Interpreting and Improving Large Language Models in Arithmetic Calculation
Wei Zhang, Chaoqun Wan, Yonggang Zhang +4
Large language models (LLMs) have demonstrated remarkable potential across numerous applications and have shown an emergent ability to tackle complex reasoning tasks, such as mathe…
Towards Lightweight Black-Box Attacks against Deep Neural Networks
Chenghao Sun, Yonggang Zhang, Wan Chaoqun +5
Black-box attacks can generate adversarial examples without accessing the parameters of target model, largely exacerbating the threats of deployed deep neural networks (DNNs). Howe…