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cs.CL2025
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83
Text embeddings are typically evaluated on a limited set of tasks, which are constrained by language, domain, and task diversity. To address these limitations and provide a more co…
cs.CL2024
MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis
Mathieu Ciancone, Imene Kerboua, Marion Schaeffer +1
Recently, numerous embedding models have been made available and widely used for various NLP tasks. The Massive Text Embedding Benchmark (MTEB) has primarily simplified the process…