Yanan Cao

Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing

2025 · arXiv (Cornell University)

Recently, knowledge editing (KE) has emerged as a promising approach to update specific facts in Large Language Models (LLMs) without the need for full retraining. Despite the effectiveness in general-domain benchmarks, their applicability to complex …

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization

2025 · arXiv (Cornell University)

Large Language Models (LLMs) excel in various domains but pose inherent privacy risks. Existing methods to evaluate privacy leakage in LLMs often use memorized prefixes or simple instructions to extract data, both of which well-alignment …

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

2020

Sentence-level extractive text summarization is substantially a node classification task of network mining, adhering to the informative components and concise representations. There are lots of redundant phrases between extracted sentences, but it is difficult to …