Papers by Andrea Sgobbi
Do Generalisation Results Generalise? (2026.findings-acl)
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| Challenge: | Existing studies evaluating generalisation performance on large language models focuses on a single out-of-distribution dataset . |
| Approach: | They examine whether OOD generalisation results generalise across multiple OOD testsets throughout a finetuning run and then evaluate the partial correlation of results . |
| Outcome: | The proposed model achieves high scores on multiple OOD testsets, regressing out in-domain performance. |