6 papers
Hypothesis Testing with Conditional Queries: Learnability and the Value of Interaction
Zonghuan Xu
Model evaluations may fix all tests before observing any responses or select later tests using earlier responses. We study this choice in a conditional-query model on a finite outc…
Optimal Training-Time Scaling in Gradual Adaptation
Zonghuan Xu, Krishna Harish
In gradual adaptation, how should the training time on each task change as the number of intermediate tasks increases? We study this question for overparameterized linear regressio…
From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning
Zonghuan Xu, Xingjun Ma
A central challenge in continual learning is forgetting, the loss of performance on previously learned tasks induced by sequential adaptation to new ones. While forgetting has been…
When Direct Prediction Fails: Evidence from LLM-Based Misinformation Risk Evaluation
Zonghuan Xu, Xiang Zheng, Yutao Wu +1
LLMs make it increasingly easy to generate deceptive content at scale, creating a need for scalable misinformation risk evaluation based on whether readers find such content credib…
DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models
Zonghuan Xu, Jiayu Li, Yunhan Zhao +3
Vision-Language-Action (VLA) models map multimodal perception and language instructions to executable robot actions, making them particularly vulnerable to behavioral backdoor mani…
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
Jiayu Li, Yunhan Zhao, Xiang Zheng +4
Vision-Language-Action (VLA) models enable robots to interpret natural-language instructions and perform diverse tasks, yet their integration of perception, language, and control i…