8 papers
Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training
Jian Gao, Xiao Zhang, Xun Zhu +2
Large language models (LLMs) often struggle when low-resource training data are ambiguous or incomplete. Task-level natural-language priors can provide useful guidance in such sett…
FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models
Kaili Zheng, Kaiwen Wang, Xun Zhu +3
Fitness Action Quality Assessment (AQA) is important for intelligent sports training, yet the capabilities of Multimodal Large Language Models (MLLMs) in this setting remain undere…
ReportQA: QA-Based Radiology Report Evaluation
Yiming Shi, Shaoshuai Yang, Xi Chen +10
Radiology report evaluation is essential for advancing automated report generation. Natural language generation metrics have limited clinical relevance. Clinical efficacy (CE) metr…
The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation
Zijie Lou, Youyun Tang, Xiaochao Qu +40
This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition under…
InterMesh: Explicit Interaction-Aware End-to-End Multi-Person Human Mesh Recovery
Kaili Zheng, Kaiwen Wang, Xun Zhu +2
Humans constantly interact with their surroundings. Existing end-to-end multi-person human mesh recovery methods, typically based on the DETR framework, capture inter-human relatio…
Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification
Xun Zhu, Fanbin Mo, Xi Chen +6
The rise of multimodal large language models (MLLMs) has sparked an unprecedented wave of applications in the field of medical imaging analysis. However, as one of the earliest and…
MIPS: a Multimodal Infinite Polymer Sequence Pre-training Framework for Polymer Property Prediction
Jiaxi Wang, Yaosen Min, Xun Zhu +2
Polymers, composed of repeating structural units called monomers, are fundamental materials in daily life and industry. Accurate property prediction for polymers is essential for t…
MedM-VL: What Makes a Good Medical LVLM?
Yiming Shi, Shaoshuai Yang, Xun Zhu +4
Medical image analysis is essential in modern healthcare. Deep learning has redirected research focus toward complex medical multimodal tasks, including report generation and visua…