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Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation

This study presents an innovative approach to urban mobility simulation by integrating a Large Lan...

Interactive OT Gym: A Reinforcement Learning-Based Interactive Optical tweezer (OT)-Driven Microrobotics Simulation Platform

Optical tweezers (OT) offer unparalleled capabilities for micromanipulation with submicron precisi...

Interactive OT Gym: A Reinforcement Learning-Based Interactive Optical tweezer (OT)-Driven Microrobotics Simulation Platform

Optical tweezers (OT) offer unparalleled capabilities for micromanipulation with submicron precisi...

Precise Gradient Discontinuities in Neural Fields for Subspace Physics

Discontinuities in spatial derivatives appear in a wide range of physical systems, from creased th...

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning

Text Image Machine Translation (TIMT)-the task of translating textual content embedded in images-i...

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving

Camera sensor simulation serves as a critical role for autonomous driving (AD), e.g. evaluating vi...

Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning

Recent advances in reinforcement learning with verifiable, rule-based rewards have greatly enhance...

MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images

Natural images exhibit label diversity (clean vs. noisy) in noisy-labeled image classification and...

WiNGPT-3.0 Technical Report

Current Large Language Models (LLMs) exhibit significant limitations, notably in structured, inter...

WiNGPT-3.0 Technical Report

Current Large Language Models (LLMs) exhibit significant limitations, notably in structured, inter...

Simulation-Guided Approximate Logic Synthesis Under the Maximum Error Constraint

Approximate computing is an effective computing paradigm for improving energy efficiency of error-...

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning

How to design reinforcement learning (RL) tasks that effectively unleash the reasoning capability ...

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation

Discovering regularities from spatiotemporal systems can benefit various scientific and social pla...

Robust Multimodal Learning via Entropy-Gated Contrastive Fusion

Real-world multimodal systems routinely face missing-input scenarios, and in reality, robots lose ...

Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care

Objective: As AI becomes increasingly central to healthcare, there is a pressing need for bioinfor...

AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory

Vision-language-action (VLA) models have shown promise as generalist robotic policies by jointly l...

A Skull-Adaptive Framework for AI-Based 3D Transcranial Focused Ultrasound Simulation

Transcranial focused ultrasound (tFUS) is an emerging modality for non-invasive brain stimulation ...

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance

Open-domain dialogue systems aim to generate natural and engaging conversations, providing signifi...

Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum

Self-Supervised Learning (SSL) has become a powerful solution to extract rich representations from...

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