3 papers
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.LG2026
Compressing LLMs with MoP: Mixture of Pruners
Bruno Lopes Yamamoto, Lucas Lauton de Alcantara, Victor Zacarias +7
The high computational demands of Large Language Models (LLMs) motivate methods that reduce parameter count and accelerate inference. In response, model pruning emerges as an effec…
cs.CL2024
No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Texts
Israel Fama, Bárbara Bueno, Alexandre Alcoforado +3
In a context where the Brazilian judiciary system, the largest in the world, faces a crisis due to the slow processing of millions of cases, it becomes imperative to develop effici…