Publications (9)
DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings
Ziwen Chen, Zhendong Wang, Chongjing Wang +12
Dermatologic diseases impose a large and growing global burden, affecting billions and substantially reducing quality of life. While modern therapies can rapidly control acute symp…
EscapeCraft: A 3D Room Escape Environment for Benchmarking Complex Multimodal Reasoning Ability
Ziyue Wang, Yurui Dong, Fuwen Luo +5
The rapid advancing of Multimodal Large Language Models (MLLMs) has spurred interest in complex multimodal reasoning tasks in the real-world and virtual environment, which require…
ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language
Yurui Dong, Shu Zou, Siqi Li +7
Recent advances in large language models and programmatic CAD have significantly improved Text-to-CAD generation for individual parts. However, production-ready mechanical assembly…
From Rational Answers to Emotional Resonance: The Role of Controllable Emotion Generation in Language Models
Yurui Dong, Luozhijie Jin, Yao Yang +3
Purpose: Emotion is a fundamental component of human communication, shaping understanding, trust, and engagement across domains such as education, healthcare, and mental health. Wh…
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
Ming Zhang, Caishuang Huang, Yilong Wu +10
Task-oriented dialogue (TOD) systems aim to efficiently handle task-oriented conversations, including information collection. How to utilize TOD accurately, efficiently and effecti…
IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD
Nianchen Deng, Jiaxin Ai, Tao Hu +10
The paper introduces IndustryForge-27B, a multimodal foundation model fine‑tuned on diverse industrial CAD data to understand drawings, generate parametric modeling scripts, and co…
Evaluating Time Awareness and Cross-modal Active Perception of Large Models via 4D Escape Room Task
Yurui Dong, Ziyue Wang, Shuyun Lu +5
Multimodal Large Language Models (MLLMs) have recently made rapid progress toward unified Omni models that integrate vision, language, and audio. However, existing environments lar…
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
Ziyue Wang, Chi Chen, Fuwen Luo +6
Active perception, a crucial human capability, involves setting a goal based on the current understanding of the environment and performing actions to achieve that goal. Despite si…
DINOv3 with Test-Time Calibration for Automated Carotid Intima-Media Thickness Measurement on CUBS v1
Zhenpeng Zhang, Jinwei Lu, Yurui Dong +1
Carotid intima-media thickness (CIMT) measured from B-mode ultrasound is an established vascular biomarker for atherosclerosis and cardiovascular risk stratification. Although a wi…