1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Structural generalization in COGS: Supertagging is (almost) all you need
Alban Petit, Caio Corro, François Yvon
In many Natural Language Processing applications, neural networks have been found to fail to generalize on out-of-distribution examples. In particular, several recent semantic pars…
cs.CL2023
On graph-based reentrancy-free semantic parsing
Alban Petit, Caio Corro
We propose a novel graph-based approach for semantic parsing that resolves two problems observed in the literature: (1) seq2seq models fail on compositional generalization tasks; (…
cs.LG2021★ 1 cited
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization
Alban Petit, Caio Corro
Variational autoencoders trained to minimize the reconstruction error are sensitive to the posterior collapse problem, that is the proposal posterior distribution is always equal t…