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cs.CL2026
Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders
Lucas Hideki Takeuchi Okamura, Alexandre Alcoforado, Anna Helena Reali Costa
Portuguese remains underrepresented in text embedding evaluation, despite being one of the most widely spoken languages in the world. As a result, embedding models are often select…
cs.CL2024
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
Alexandre Alcoforado, Thomas Palmeira Ferraz, Lucas Hideki Okamura +5
A major challenge in Natural Language Processing is obtaining annotated data for supervised learning. An option is the use of crowdsourcing platforms for data annotation. However,…