9 papers
BrepLLM: Enabling Large Language Models to Understand Boundary Representations
Liyuan Deng, Hao Guo, Yongkang Dai +5
Current token-sequence-based Large Language Models (LLMs) struggle to directly process 3D Boundary Representation (B-rep) models that contain complex geometric and topological info…
AutoRegressive Generation with B-rep Holistic Token Sequence Representation
Jiahao Li, Yunpeng Bai, Yongkang Dai +3
Previous representation and generation approaches for the B-rep relied on graph-based representations that disentangle geometric and topological features through decoupled computat…
Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent
Xiaofu Jin, Yunpeng Bai, Antti Oulasvirta
Users often struggle to locate an item within an information architecture, particularly when links are ambiguous or deeply nested in hierarchies. Information scent has been used to…
Hierarchical Resource Rationality Explains Human Reading Behavior
Yunpeng Bai, Xiaofu Jin, Shengdong Zhao +1
Reading is a pervasive and cognitively demanding activity that underpins modern human culture. It is a prime instance of a class of tasks where eye movements are coordinated for th…
A Resource-Rational Principle for Modeling Visual Attention Control
Yunpeng Bai
Understanding how people allocate visual attention is central to Human-Computer Interaction (HCI), yet existing computational models of attention are often either descriptive, task…
Simulation-based Optimization for Augmented Reading
Yunpeng Bai, Shengdong Zhao, Antti Oulasvirta
Augmented reading systems aim to adapt text presentation to improve comprehension and task performance, yet existing approaches rely heavily on heuristics, opaque data-driven model…