Work

Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models

Year: 2025

Type: conference-paper

Source: ACM Conference on User Modeling, Adaptation and Personalization (UMAP)

DOI: 10.1145/3699682.3728338

Authors: Maxwell Szymanski, John Stamper, Vero Vanden Abeele, Katrien Verbert

Institutions: KU Leuven, Carnegie Mellon University

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: KU Leuven

Award: G7235876266

OpenAlex ID: W4411279722

FWCI:

Cites: 28

Cited by:

Related to: 10