Papers by Zoran Fijavž
Thesis Proposal: Measuring Prejudice at Scale (2026.eacl-srw)
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| Challenge: | Existing methods for NLP fail to confirm construct validity, limiting the validity of the model. |
| Approach: | They propose to shift from categorical classification to comparative scaling of grounded constructs by using prompt optimization and distillation approaches. |
| Outcome: | The proposed pipeline is scalable for moving from categorical classification to theoretically grounded comparative measurement. |