Publications
Journal Articles & Conference Papers
Modifying Exemplification in Long-form Question Answering via Retrieval.
Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, and Mohit Iyyer.
NAACL 2022.
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application
to Corpus Exploration.
Shufan Wang, Laure Thompson, and Mohit Iyyer.
EMNLP 2021.
Computational Cut-Ups: The Influence of Dada.
Laure Thompson and David Mimno.
The Journal of Modern Periodical Studies Vol.8, No.2, 2018, pp. 179-195.
Authorless Topic Models: Biasing Models Away from Known Structure.
Laure Thompson and David Mimno.
COLING 2018.
🏆 Best Paper Award: Best NLP Engineering Experiment.
The Strange Geometry of Skip-Gram with Negative Sampling.
David Mimno and Laure Thompson.
EMNLP 2017.
🏆 Outstanding Paper (Best Paper Honorable Mention).
Quantifying the Effects of Text Duplication on Semantic Models.
Alexandra Schofield, Laure Thompson, and David Mimno.
EMNLP 2017.
Vale: Verifying High-Performance Crytographic Assembly Code.
Barry Bond, Chris Hawblitzel, Manos Kapritsos, Rustan Leino, Jay Lorch, Bryan Parno,
Ashay Rane, Srinath Setty, and Laure Thompson.
USENIX Security 2017.
🏆 Distinguished Paper Award.
A Coalgebraic Decision Procedure for NetKAT.
Nate Foster, Dexter Kozen, Mae Milano, Alexandra Silva, and Laure Thompson.
POPL 2015.
Other
Humanities and Human-Centered Machine Learning.
Laure Thompson and David Mimno.
Book Chapter, Forthcoming.
Understanding and Directing What Models Learn
Laure Thompson.
Doctoral Thesis.
Building Large-Scale Collections of Genre Fiction: Final Report
Laure Thompson and David Mimno.
HTRC ACS 2020 Final Report, revised Nov 2020.
Topic Modeling with Contextualized Word Representation Clusters.
Laure Thompson and David Mimno.
Progressive Fusion for Multimodal Integration.
Shiv Shankar, Laure Thompson, and Madalina Fiterau.