4 papers
Distributional Surgery for Language Model Activations
Bao Nguyen, Binh Nguyen, Duy Nguyen +1
Language models, while capable of generating remarkably coherent and seemingly accurate text, can occasionally produce undesirable content, including harmful or toxic outputs. In t…
Cold-start Recommendation by Personalized Embedding Region Elicitation
Hieu Trung Nguyen, Duy Nguyen, Khoa Doan +1
Rating elicitation is a success element for recommender systems to perform well at cold-starting, in which the systems need to recommend items to a newly arrived user with no prior…
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
Duy Nguyen, Bao Nguyen, Viet Anh Nguyen
Algorithmic recourse recommends a cost-efficient action to a subject to reverse an unfavorable machine learning classification decision. Most existing methods in the literature gen…
Coverage-Validity-Aware Algorithmic Recourse
Ngoc Bui, Duy Nguyen, Man-Chung Yue +1
Algorithmic recourse emerges as a prominent technique to promote the explainability, transparency, and ethics of machine learning models. Existing algorithmic recourse approaches o…