Here is my Google Scholar page for a full list of publications.

Selected Recent Works

• Data Governance in the Age of Large-Scale Data-Driven Language Technology
  Y. Jernite, H. Nguyen, S. Biderman, A. Rogers, M. Masoud, V. Danchev, S. Tan, A.S. Luccioni, N. Subramani, G. Dupont, J. Dodge, K. Lo, Z. Talat, D. Radev, I. Johnson, S. Nikpoor, J., Frohberg, A. Gokaslan, P. Henderson, R. Bommasani, M. Mitchell
  FAccT, June 2022
  [paper]
• Unsupervised Text Summarization via Mixed Model Back-Translation
  Y. Jernite
  ArXiv, August 2019
  [paper]
• ELI5: Long Form Question Answering
  A. Fan, Y. Jernite, E. Perez, D. Grangier, J. Weston, M. Auli
  In 57th Association for Computational Linguistics (ACL), July 2019
  [paper]
• CraftAssist: A Framework for Dialogue-enabled Interactive Agents
  J. Gray, K. Srinet, Y. Jernite, H. Yu, Z. Chen, D. Guo, S. Goyal, C.L. Zitnick, A. Szlam
  ArXiv, July 2019
  [paper]
• CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant
  Y. Jernite, K. Srinet, J. Gray, A. Szlam
  ArXiv, May 2019
  [paper]
• Learning Representations of Text through Language and Discourse Modeling: From Characters to Sentences
  Y. Jernite
  PhD Thesis, January 2018
  [thesis]

Previous Publications

• Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
  Y. Jernite, A.Choromanska, D. Sontag
  In 34th International Conference on Machine Learning (ICML), August 2017
  [paper]
• Grounded Recurrent Neural Networks
  A. Vani, Y. Jernite, D. Sontag
  ArXiv, May 2017
  [paper]
• Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
  Y. Jernite, S. Bowman, D. Sontag
  ArXiv, May 2017
  [paper]
• Variable Computation in Recurrent Neural Networks
  Y. Jernite, E. Grave, A. Joulin, T.Mikolov
  In 5th International Conference on Learning Representations (ICLR), April 2017
  [paper]
• Character-Aware Neural Language Models
  Y. Kim, Y. Jernite, D. Sontag, A. Rush
  In 30th AAAI conceference on Artificial Intelligence, February 2016
  [paper][code]
• A Fast Variational Approach for Learning Markov Random Field Language Models
  Y.Jernite, S. Rush, D. Sontag
  In 32nd International Conference on Machine Learning (ICML), July 2015
  [paper][Slides][code]
• The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul
  Y.Jernite, P.Latouche, C.Bouveyron, P.Rivera, L.Jegou, S.Lamasse
  In Annals of Applied Statistics 2014, Vol. 8, No. 1, 377-405
  [paper][bibtex]
  
• Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
  Y.Jernite, Y.Halpern, D.Sontag
  In Neural Information Processing Systems (NIPS) 26,Dec. 2013
  [paper] [bibtex] [supplementary] [code]
  
• Predicting Chief Complaints at Triage Time in the Emergency Department
  Y.Jernite, Y.Halpern, S.Horng, D.Sontag
  In NIPS 2013 Workshop on Machine Learning for Clinical Data Analysis and Healthcare,Dec. 2013
  [paper] [bibtex]