2 citations · 2 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…
GeoLink: A 3D-aware Framework to Improve Generalization for Cross-view Geo-localization
Hongyang Zhang, Yinhao Liu, Haitao Zhang +4
Generalizable cross-view geo-localization aims to match the same location across views in unseen regions and conditions without GPS supervision. Its core difficulty lies in severe…
Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning
Wu Fei, Shuxian Liang, Yibo Yang +5
Process Reinforcement Learning~(PRL) has demonstrated considerable potential in enhancing the reasoning capabilities of Large Language Models~(LLMs). However, introducing additiona…
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
Xiaoye Qu, Yafu Li, Zhao-Chen Su +15
Recent Large Reasoning Models (LRMs), such as DeepSeek-R1 and OpenAI o1, have demonstrated strong performance gains by scaling up the length of Chain-of-Thought (CoT) reasoning dur…