Yiwei Wang

Modeling Long- and Short-Term User Behaviors for Sequential Recommendation with Deep Neural Networks

2021

In e-commerce platforms, a user's next behavior will be affected by his long-term constant interests and short-term temporal needs. Such information is usually hidden in the users' historical online behavior data, so how to capture …

Primacy Effect of ChatGPT

2023

Instruction-tuned large language models (LLMs), such as ChatGPT, have led to promising zero-shot performance in discriminative natural language understanding (NLU) tasks. This involves querying the LLM using a prompt containing the question, and the candidate …

HealthBridge: A Decentralized and Interoperable Healthcare App for Rare Disease Communities

2023

Traditional centralized database systems share many weaknesses, including the overhead of sharing medical documentation, data fragmentation, and susceptibility to centralized data attacks. Those problems would especially influence rare disease patient communities given their higher need …

Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety

2024

Previous research on jailbreak attacks has mainly focused on optimizing the adversarial snippet content injected into input prompts to expose LLM security vulnerabilities. A significant portion of this research focuses on developing more complex, less …

DRS: Deep Question Reformulation With Structured Output

2025

Question answering represents a core capability of large language models (LLMs).However, when individuals encounter unfamiliar knowledge in texts, they often formulate questions that the text itself cannot answer due to insufficient understanding of the underlying …