8 citations · 16 across the 8 of their papers we have counts for
11 papers
Native Hierarchical and Compositional Representations with Subspace Embeddings
Gabriel Moreira, Zita Marinho, Manuel Marques +2
Traditional embeddings represent datapoints as vectors, which makes similarity easy to compute but limits how well they capture hierarchies and compositionality. We propose a funda…
AuPair: Golden Example Pairs for Code Repair
Aditi Mavalankar, Hassan Mansoor, Zita Marinho +2
Scaling up inference-time compute has proven to be a valuable strategy in improving the performance of Large Language Models (LLMs) without fine-tuning. An important task that can…
Efficient Machine Translation Domain Adaptation
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Machine translation models struggle when translating out-of-domain text, which makes domain adaptation a topic of critical importance. However, most domain adaptation methods focus…
Self-Consistent Models and Values
Gregory Farquhar, Kate Baumli, Zita Marinho +4
Learned models of the environment provide reinforcement learning (RL) agents with flexible ways of making predictions about the environment. In particular, models enable planning,…
Priberam at MESINESP Multi-label Classification of Medical Texts Task
Ruben Cardoso, Zita Marinho, Afonso Mendes +1
Medical articles provide current state of the art treatments and diagnostics to many medical practitioners and professionals. Existing public databases such as MEDLINE contain over…
Sparse Text Generation
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Current state-of-the-art text generators build on powerful language models such as GPT-2, achieving impressive performance. However, to avoid degenerate text, they require sampling…