1 citations · 1 across the 5 of their papers we have counts for
5 papers
GPAgentBench-2K: Benchmarking Large Language Model Agents in Complex Clinical Action Space
Boqi Chen, Xudong Liu, Yunke Ao +2
Large Language Models (LLMs) show great potential as clinical agents, yet existing benchmarks reduce clinical workflows to static predictions or unconstrained Markov Decision Proce…
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…
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…
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…
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms
Boqi Chen, Yuanzhi Zhu, Yunke Ao +5
Single-source domain generalization (SDG) aims to learn a model from a single source domain that can generalize well on unseen target domains. This is an important task in computer…