Papers by Marius Leordeanu
“Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions (2024.findings-emnlp)
Copied to clipboard
Mihai Masala, Denis Ilie-Ablachim, Alexandru Dima, Dragos Georgian Corlatescu, Miruna-Andreea Zavelca, Ovio Olaru, Simina-Maria Terian, Andrei Terian, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea
| Challenge: | Large Language Models (LLMs) have achieved almost human-like performance on various tasks. |
| Approach: | They are the first to collect and translate a large collection of texts, instructions, and benchmarks and train, evaluate and release open-source LLMs tailored for Romanian. |
| Outcome: | The proposed model trains, evaluates and releases open-source models tailored for Romanian. |
A hierarchical approach to vision-based language generation: from simple sentences to complex natural language (2020.coling-main)
Copied to clipboard
| Challenge: | Automating video to language translation is a challenging problem, but it is unclear what the neural network learns . |
| Approach: | They propose a hierarchical approach to automatically describing videos in natural language . they propose generating video descriptions as sequences of simple sentences followed by a more complex and fluent description in natural languages. |
| Outcome: | The proposed approach generates video descriptions as sequences of simple sentences, followed by a more complex and fluent description in natural language. |