2 papers
cs.LG2025
SHLIME: Foiling adversarial attacks fooling SHAP and LIME
Sam Chauhan, Estelle Duguet, Karthik Ramakrishnan +3
Post hoc explanation methods, such as LIME and SHAP, provide interpretable insights into black-box classifiers and are increasingly used to assess model biases and generalizability…
cs.IR2024
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries
Hugh Van Deventer, Mark Mills, August Evrard
Most universities in the United States encourage their students to explore academic areas before declaring a major and to acquire academic breadth by satisfying a variety of requir…