3 papers
cs.CL2025
XDoGE: Multilingual Data Reweighting to Enhance Language Inclusivity in LLMs
Iñaki Lacunza, José Javier Saiz, Alexander Shvets +2
Current large language models (LLMs) are trained on massive amounts of text data, primarily from a few dominant languages. Studies suggest that this over-reliance on high-resource…
cs.CL2025
Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification
Alexander Shvets
Most datasets for sentiment analysis lack context in which an opinion was expressed, often crucial for emotion understanding, and are mainly limited by a few emotion categories. Fo…
cs.CL2025
Salamandra Technical Report
Aitor Gonzalez-Agirre, Marc PÃ mies, Joan Llop +21
This work introduces Salamandra, a suite of open-source decoder-only large language models available in three different sizes: 2, 7, and 40 billion parameters. The models were trai…