4 papers
DualCount: Structurally Consistent Density and Point Modeling for Zero-Shot Object Counting
Xuan Cuong Ngo
Zero-shot object counting aims to estimate the number of objects specified by a text query without category-specific training. Recent approaches primarily rely on density regressio…
GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models
Xuan Cuong Ngo, Hao Vo, Ngan Le
Activation steering provides a lightweight way to control large language models (LLMs) by modifying their hidden activations at inference time. Among these approaches, norm-preserv…
Learning to Adapt and Calibrate: Score Distribution Alignment for Few-Shot Uncertainty Prediction in Medical VLMs
Xuan Cuong Ngo, Ngan Le
Uncertainty estimation for medical vision--language models (VLMs) using conformal prediction has gained increasing attention due to its distribution-free coverage guarantees. Howev…
Learning to See Locally and Align Clinically with Pathology Semantics for Radiology Report Generation
Xuan Cuong Ngo
Recent radiology-adapted vision-language models have achieved strong performance on standard report generation benchmarks, yet their robustness and generalization remain constraine…