Pourya Farzi

PhD student

Research Overview

My research focuses on trustworthy, knowledge-aware NLP and security, with particular interest in retrieval-augmented generation, computational semantics and Large Language Models.

I investigate robust and compositional approaches for AI by integrating neural language models with symbolic and retrieval-based reasoning frameworks. My work explores adversarial robustness, explainability, and contextual grounding in large language models for high-stakes applications such as scientific discovery, health question answering, and evidence-based text generation.

  • UCREL - University Centre for Computer Corpus Research on Language