Papers by Meladel Mistica
On the Interplay between Human Label Variation and Model Fairness (2026.findings-eacl)
Copied to clipboard
| Challenge: | Existing studies on the impact of human label variation on model fairness have not explored the interaction between HLV and performance. |
| Approach: | They compare human label variation (HLV) training methods with four other methods . they find that HLV methods improve performance without harming fairness . |
| Outcome: | The proposed methods improve fairness without explicit debiasing under certain configurations. |
Where the Cat Sat: A Multilingual Framework for Spatial Language Understanding (2026.acl-long)
Copied to clipboard
| Challenge: | Existing work exhibits biases toward English and prepositional marking . Existing models are limited in understanding spatial relations across typologically diverse languages . |
| Approach: | They propose a multilingual framework and benchmark for spatial language understanding . they decompose spatial relations into surface elements and semantic components . their results suggest surface parsing does not entail spatial understanding - they argue . |
| Outcome: | The proposed framework and benchmark decomposes spatial relations into surface elements and semantic components. |
Evaluating Document Coherence Modeling (2021.tacl-1)
Copied to clipboard
| Challenge: | a new study examines pretrained language models' ability to model discourse and pragmatic phenomena. |
| Approach: | They propose a sentence intrusion detection task using a dictionary dataset . they show that pretrained LMs perform impressively in in-domain evaluation . |
| Outcome: | The proposed dataset shows that pretrained LMs perform impressively in in-domain evaluation, but experience a substantial drop in the cross-domain setting, indicating limited generalization capacity. |