Domain Pre-training Impact on Representations
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866915313535156224 |
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| author | Gonzalez-Gutierrez, Cesar Quattoni, Ariadna |
| author_facet | Gonzalez-Gutierrez, Cesar Quattoni, Ariadna |
| contents | This empirical study analyzes the effects of the pre-training corpus on the quality of learned transformer representations. We focus on the representation quality induced solely through pre-training. Our experiments show that pre-training on a small, specialized corpus can yield effective representations, and that the success of combining a generic and a specialized corpus depends on the distributional similarity between the target task and the specialized corpus. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_24455 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Domain Pre-training Impact on Representations Gonzalez-Gutierrez, Cesar Quattoni, Ariadna Computation and Language This empirical study analyzes the effects of the pre-training corpus on the quality of learned transformer representations. We focus on the representation quality induced solely through pre-training. Our experiments show that pre-training on a small, specialized corpus can yield effective representations, and that the success of combining a generic and a specialized corpus depends on the distributional similarity between the target task and the specialized corpus. |
| title | Domain Pre-training Impact on Representations |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2505.24455 |