3 papers
cs.CL2026
Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective
Boqi Chen, Xudong Liu, Yunke Ao +1
Stochastic sampling strategies are widely adopted in large language models (LLMs) to balance output coherence and diversity. These heuristics are often inherited in Multimodal LLMs…
cs.RO2026
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
cs.RO2025
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network
Xintian Yuan, Yunke Ao, Boqi Chen +1
Simulating the complex interactions between soft tissues and rigid anatomy is critical for applications in surgical training, planning, and robotic-assisted interventions. Traditio…