A backtranslation-based synthetic data pipeline produces 1.7 million French tweets to train reasoners that reach 77-79% accuracy on human-annotated distress detection, matching or beating proprietary LLMs.
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Continued pretraining of ModernBERT on curated Portuguese data produces moBERTo, which reports top results on Portuguese retrieval reranking and PLUE-PT benchmarks.
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Model in Distress: Sentiment Analysis on French Synthetic Social Media
A backtranslation-based synthetic data pipeline produces 1.7 million French tweets to train reasoners that reach 77-79% accuracy on human-annotated distress detection, matching or beating proprietary LLMs.
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moBERTo: A Modern Encoder for Portuguese via Continued Pretraining of ModernBERT
Continued pretraining of ModernBERT on curated Portuguese data produces moBERTo, which reports top results on Portuguese retrieval reranking and PLUE-PT benchmarks.
- HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction