most citedThought Graph Traversal for Test-time Scaling in Chest X-ray VLLMs

1 citations · 1 across the 6 of their papers we have counts for

collaborators

10 papers

cs.AI2026

SkillTrace: Traversing a Query-Skill Graph for Composable LLM Agents

Yue Yao, Shengyuan Wang, Xin Chen +4

Large language model agents increasingly solve complex tasks by composing reusable skills from a library. To address this, the key challenge is not merely to retrieve individually…

eess.IV2026

DY-LUT: Depth-Aware YCbCr Lookup Tables for Real-Time Underwater Image Enhancement

Cunhao Zhu, Xiangtao Kong, Dongliang Xu +3

Underwater image enhancement is challenged by spatially non-uniform, wavelength-dependent attenuation. Propagation distance and wavelength govern this degradation, while YCbCr sepa…

cs.CV2026

No Training, Better Flights: Test-Time Scaled VLMs for UAV Navigation

Feinan Cheng, Dongliang Xu, Wenli Nong +4

Test-time scaling offers a promising method to improve the inference performance of Vision-Language Models (VLMs) without additional training. Existing approaches to vision-languag…

cs.CV2026

Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data?

Xin Chen, Dongliang Xu, Cunhao Zhu +5

As vision-language models (VLMs) are increasingly applied to medical AI, existing benchmarks mainly focus on evaluating their diagnosis ability over given medical images and texts,…

cs.CV20261 cited

Thought Graph Traversal for Test-time Scaling in Chest X-ray VLLMs

Yue Yao, Zelin Wen, Yan Tong +5

Test-time scaling offers a promising way to improve the reasoning performance of vision-language large models (VLLMs) without additional training. In this paper, we explore a simpl…

cs.AI2026

Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization

Zhixin Lin, Jungang Li, Dongliang Xu +5

Mobile GUI agents powered by Multimodal Large Language Models (MLLMs) can execute complex tasks on mobile devices. Despite this progress, most existing systems still optimize task…