I am a PhD student at INRIA Nancy and Facebook AI Research Paris, advised by Antoine Bordes, Chloe Braud, and Claire Gardent. I am interested in text generation. Before starting my PhD, I was a research engineer at FAIR for two and a half years and got a Bachelor’s degree in statistics at Harvard.
Interests
Machine learning, natural language processing, and data visualization
Latest Publications
EMNLP - November 19, 2020
Generating Fact Checking Briefs
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
ICLR - April 26, 2020
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Edouard Grave, Armand Joulin
EMNLP - November 3, 2019
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes
EMNLP - November 1, 2019
Learning to Speak and Act in a Fantasy Text Adventure Game
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
ACL - July 28, 2019
ELI5: Long Form Question Answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli
ACL - July 26, 2019
Strategies for Structuring Story Generation
Angela Fan, Mike Lewis, Yann Dauphin
ICLR - June 3, 2019
Pay less attention with Lightweight and Dynamic Convolutions
Felix Wu, Angela Fan, Alexei Baevski, Yann Dauphin, Michael Auli
NAACL - June 3, 2019
FAIRSEQ: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
ICLR - May 6, 2019
Generative Question Answering: Learning to Answer the Whole Question
Mike Lewis, Angela Fan
ACL NMT Workshop 2018 - July 20, 2018
Controllable Abstractive Summarization
Angela Fan, David Grangier, Michael Auli
ACL 2018 - July 15, 2018
Hierarchical Neural Story Generation
Angela Fan, Michael Lewis, Yann Dauphin
ICML - August 6, 2017
Language Modeling with Gated Convolutional Networks
Yann Dauphin, Angela Fan, Michael Auli, David Grangier