About me

I am an AI Research Engineer at Konverso, working on Generative AI. I got my PhD from Université Paris-Saclay at the LISN lab. I was advised by François Yvon and co-advised by Caio Corro. Before that, I received my Bachelor's degree in Computer Science and my Master's degree in Artificial Intelligence from Université Paris-Saclay.

Publications

• Structured prediction methods for semantic parsing
  Alban Petit
  PhD thesis
  [link]
• 5. Structural generalization in COGS: Supertagging is (almost) all you need
  Alban Petit, Caio Corro, François Yvon
  EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing
  [link]
• 4. On graph-based reentrancy-free semantic parsing
  Alban Petit, Caio Corro
  TACL 2023 - Transactions of the Association for Computational Linguistics
  [link]
• 3. Un algorithme d'analyse sémantique fondée sur les graphes via le problème de l'arborescence généralisée couvrante
  Alban Petit, Caio Corro
  TALN 2022 - Conférence sur le Traitement Automatique des Langues Naturelles
  [link]
• 2. Preventing posterior collapse in variational autoencoders for text generation via decoder regularization
  Alban Petit, Caio Corro
  NeurIPS 2021 Workshop - Deep Generative Models and Downstream Applications
  [link]
• 1. Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur
  Alban Petit, Caio Corro
  TALN 2021 - Conférence sur le Traitement Automatique des Langues Naturelles
  [link]

Experiences

• 2024 - present, AI Research Engineer, Konverso
• 2021 - 2023, EACL Student Board member
• 2020 - 2024, PhD Student, LISN, CNRS, Université Paris-Saclay
• 2020, Research Intern, LIMSI (now LISN), CNRS, Université Paris-Saclay
• 2019, Research Intern, LRI (now LISN), Université Paris-Saclay