Papers by Michał Wiktor Perełkiewicz
PL-MTEB: Polish Massive Text Embedding Benchmark (2026.findings-acl)
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| Challenge: | Text embeddings are used in many NLP tasks, including document clustering, semantic search, question answering, and classification. |
| Approach: | They introduce the Polish Massive Text Embedding Benchmark (PL-MTEB) it is a comprehensive benchmark for text embeddings in the Polish language. |
| Outcome: | The proposed model is based on 30 different NLP tasks in the Polish language. |