2 papers
cs.AI2026
Learning Who Disagrees: Demographic Importance Weighting for Modeling Annotator Distributions with DiADEM
Samay U. Shetty, Tharindu Cyril Weerasooriya, Deepak Pandita +1
When humans label subjective content, they disagree, and that disagreement is not noise. It reflects genuine differences in perspective shaped by annotators' social identities and…
cs.CL2025
LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo
Mandira Sawkar, Samay U. Shetty, Deepak Pandita +2
The Learning With Disagreements (LeWiDi) 2025 shared task aims to model annotator disagreement through soft label distribution prediction and perspectivist evaluation, which focuse…