I am an Applied Scientist at AWS Security Analytics and AI Research (SAAR) and a Ph.D. Candidate in the Department of Computer & Information Sciences at Temple University.
I am fortunate to be advised by Dr. Eduard Dragut. I also closely collaborate with Dr. Cornelia Caragea and Dr. Longin Jan Latecki.
My research focuses on Natural Language Processing (NLP), Large Language Models (LLMs), and Applied Machine Learning, with a particular interest in:
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LLM for Structured Knowledge Extraction (LLM4StructKE)
Leveraging LLMs to extract entities, relations, and complex structured knowledge from text. -
Structured Knowledge for LLMs (StructKE4LLM)
Injecting and utilizing structured knowledge to enhance LLM reasoning, factuality, and adaptability. -
LLM Agents
Developing LLM-based agent systems with capabilities for tool use, safety assurance, and multi-step reasoning. -
AI Agent Safety
Advancing the safety and reliability of AI agents, with a focus on tool-use safety, robustness, anomaly detection, and secure multi-step decision-making.
- Homepage: qi-zhang.github.io
- Google Scholar: Qi Zhang's Publications