James Bailey

Beyond Hard Supervised Fine-tuning: Enhancing Image-text Alignment of Strong Models with Weak Models

GeoDetect: Geometric Adversarial Detection for VLPs

Editing by Reconstruction: Background Preservation for Instruction-based Autoregressive Image Editing

Do Vision-Language Models Reason Like Humans? Exploring the Functional Roles of Attention Heads

What Do VLMs See? Benchmarking Vision-Language Models on Ambiguous Images

Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP

Practical Kernel Selection for Kernel-based Conditional Independence Test

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models

Detecting Backdoor Samples in Contrastive Language Image Pretraining

Attention-based Graph Coreset Labeling for Active Learning

HOGT: High-Order Graph Transformers

Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting

Practical Kernel Learning for Kernel-based Conditional Independent Test

TUAP: Targeted Universal Adversarial Perturbations for CLIP

GAD-VLP: Geometric Adversarial Detection for Vision-Language Pre-Trained Models

Exploring Weak-to-Strong Generalization for CLIP-based Classification