Ifeoluwa Wuraola

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I am currently pursuing a PhD in AI and Data Science with a focus on Natural Language Processing (NLP) at the University of Hull. My research investigates emotion detection in climate-related discourse on social media, with a particular interest in how cultural nuances and regional slang influence model performance. This naturally extends to examining cultural biases in AI models, especially how large language models may misinterpret or underrepresent voices from diverse communities.

Experience

  • –present
    Doctoral Researcher in Artificial Intelligence, University of Hull

Education

  • 2027 
    University of Hull, PhD Artificial Intelligence and Data Science
  • 2023 
    University of Hull, MSc Artificial Intelligence and Data Science

Publications

  • 2026
    SLANG-GraphRAG: Multi-Layered Retrieval with Domain-Specific Knowledge for Low Resource Social Media Conversations,
  • 2025
    GreenIQ: A Deep Search Platform for Comprehensive Carbon Market Analysis and Automated Report Generation,
  • 2024
    Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing,
  • 2024
    Bda at semeval-2024 task 4: Detection of persuasion in memes across languages with ensemble learning and external knowledge,
  • 2023
    Linguistic pattern analysis in the climate change-related tweets from UK and Nigeria,

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