Papers by Władysław Średniawa

1 papers
Leakage-Aware User-Level ADHD Signal Classification from Social Media: When Graph Aggregation Helps, and When It Does Not (2026.acl-srw)

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Challenge: Social media data are longitudinal, usercentered, rich in spontaneous language use.
Approach: They propose a leakage-aware evaluation framework organized around two controlled axes: evidence budget and leakage control.
Outcome: The proposed framework compares graph aggregation with other models using psycholinguistic features and semantic tweet embeddings.

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