3 papers
cs.CL2026
Sell Me This Stock: Unsafe Recommendation Drift in LLM Agents
Zekun Wu, Adriano Koshiyama, Sahan Bulathwela +1
People increasingly use LLM agents for multi-turn financial recommendations, where the agent pulls market data through tools and tracks user preferences across turns. When tool out…
cs.CY2025
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
Sahan Bulathwela, Daniel Van Niekerk, Jarrod Shipton +3
Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is…
cs.CL2024
Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach
Zekun Wu, Sahan Bulathwela, Maria Perez-Ortiz +1
Stereotype detection is a challenging and subjective task, as certain statements, such as "Black people like to play basketball," may not appear overtly toxic but still reinforce r…