Christopher M. Homan

LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo

ARTICLE: Annotator Reliability Through In-Context Learning

ProRefine: Inference-Time Prompt Refinement with Textual Feedback

Note Presenting at NeurIPS (ER Workshop) Date: December 6, 2025 Time: 12 p.m. - 1 p.m. Location: NeurIPS 2025 - Workshop Exhibit Hall F Session Type: Poster Session

Rater Cohesion and Quality from a Vicarious Perspective

Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive

Workflow Diagram for VOICED

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning

Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo

Findings from the Bambara - French Machine Translation Competition (BFMT 2023)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers

Improving Label Quality by Jointly Modeling Items and Annotators