Book
Open access
Jul 2026
Domain-Specific Reranking: When is Adaptation Worth the Cost?
It is found that when pretraining data is limited, task-specific fine-tuning—using only a few hundred labeled examples in the domain—can match or surpass the gains of domain-adaptive pretraining, suggesting that domain-adaptive pretraining may not always be necessary for strong domain performance.
Tuukka Karvonen, Alessio Staffini, Kenichi Maeda et al.
· Annual International ACM SIG... · 0 citations