collaborators

5 papers

cs.CR2026

ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation

Jinghuai Zhang, Pengyue Yu, Zhexiao Lin +3

Image-based Retrieval-Augmented Generation (IRAG) conditions a frozen generator on reference images retrieved from an external database, supporting both text-to-image (T2I) and que…

stat.ML2026

Domain-Shift-Aware Conformal Prediction for Large Language Models

Zhexiao Lin, Yuanyuan Li, Neeraj Sarna +2

Large language models have achieved impressive performance across diverse tasks. However, their tendency to produce overconfident and factually incorrect outputs, known as hallucin…

cs.LG2026

Nearest-Neighbor Radii under Dependent Sampling

Yuanyuan Gao, Yilong Hou, Zhexiao Lin

Nearest-neighbor methods are fundamental to classical and modern machine learning, yet their geometric properties are typically analyzed under independent sampling. In this paper,…

stat.ME2026

Variance reduction combining pre-experiment and in-experiment data

Zhexiao Lin, Pablo Crespo

Online controlled experiments (A/B testing) are fundamental to data-driven decision-making in many companies. Improving the sensitivity of these experiments under fixed sample size…

cs.CL2025

BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation

Tianhao Zhang, Zhecheng Sheng, Zhexiao Lin +2

Autoregressive generative models play a key role in various language tasks, especially for modeling and evaluating long text sequences. While recent methods leverage stochastic rep…