Papers by Miruna Pislar
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels (2020.coling-main)
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| Challenge: | Neural networks can capture expressive language features, but insights into the link between words and sentences are difficult to acquire automatically. |
| Approach: | They propose a deep neural network architecture that explicitly wires lower and higher linguistic components and evaluate its ability to perform the same task at different hierarchical levels. |
| Outcome: | The proposed model outperforms equivalent models that are not incentivized towards compositional representations. |
Machine Translation Decoding beyond Beam Search (2021.emnlp-main)
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Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Lespiau Jean-Baptiste, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
| Challenge: | a new study examines whether beam search can be replaced by a more powerful metric-driven search technique. |
| Approach: | They propose a beam search method which is agnostic to the end metric and report results on a variety of metrics. |
| Outcome: | The proposed method is based on a Monte-Carlo Tree Search (MCTS) based method and shows it can be used in language applications. |