Top-P Masking for Cross Language Information Retrieval
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866914108230598656 |
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| author | Casale, Joseph Silverschotz, Andrew DeSimone, Joseph |
| author_facet | Casale, Joseph Silverschotz, Andrew DeSimone, Joseph |
| contents | Top-K masking schemes have been proposed as a method to promote sparse representations in Information Retrieval (IR) tasks, as a simple alternative to Floating Point Operations per Second (FLOPS) regularization. Algorithms such as Bilingual Lexical and Document Expansion Model (BLADE), adopt this approach as a post-processing stage. We propose using Top-P Dynamic Masking similar to Nucleus Sampling in Large Language Models, and demonstrate better performance than Top-K masking. Specifically, we evaluate our methods in the domain of Cross Language Information Retrieval (CLIR) |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_19758 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Top-P Masking for Cross Language Information Retrieval Casale, Joseph Silverschotz, Andrew DeSimone, Joseph Information Retrieval Top-K masking schemes have been proposed as a method to promote sparse representations in Information Retrieval (IR) tasks, as a simple alternative to Floating Point Operations per Second (FLOPS) regularization. Algorithms such as Bilingual Lexical and Document Expansion Model (BLADE), adopt this approach as a post-processing stage. We propose using Top-P Dynamic Masking similar to Nucleus Sampling in Large Language Models, and demonstrate better performance than Top-K masking. Specifically, we evaluate our methods in the domain of Cross Language Information Retrieval (CLIR) |
| title | Top-P Masking for Cross Language Information Retrieval |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2510.19758 |