Efficient Benchmarking via Bias-Bounded Subset Selection
Evaluating AI systems, particularly large models, is an essential yet computationally expensive task. The use of extensive benchmarks often leads to substantial computational/human costs that may even exceed those of pretraining. The efficiency of AI model evaluation focuses on estimating the model&...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 12. Aug.
|
|---|
| Auteur principal: |
Zhuang, Yan
(Auteur) |
|---|
| Autres auteurs: |
Yu, Junhao,
Liu, Qi,
Sun, Yuxuan,
Li, Jiatong,
Huang, Zhenya,
Chen, Enhong |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2025
|
|---|
| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Sujets: | Journal Article |
|---|