3 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models
Shaoxiong Ji, Zihao Li, Jaakko Paavola +7
In this work, we introduce EMMA-500, a large-scale multilingual language model continue-trained on texts across 546 languages designed for enhanced multilingual performance, focusi…
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
Peiqin Lin, André F. T. Martins, Hinrich Schütze
Recent studies have highlighted the potential of exploiting parallel corpora to enhance multilingual large language models, improving performance in both bilingual tasks, e.g., mac…
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
Peiqin Lin, André F. T. Martins, Hinrich Schütze
Recent studies indicate that leveraging off-the-shelf or fine-tuned retrievers, capable of retrieving relevant in-context examples tailored to the input query, enhances few-shot in…
MaLA-500: Massive Language Adaptation of Large Language Models
Peiqin Lin, Shaoxiong Ji, Jörg Tiedemann +2
Large language models (LLMs) have advanced the state of the art in natural language processing. However, their predominant design for English or a limited set of languages creates…