27 citations · 105 across the 27 of their papers we have counts for
6 papers · 1 filter
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers
Michael Saxon, Xinyi Wang, Wenda Xu +1
Building natural language inference (NLI) benchmarks that are both challenging for modern techniques, and free from shortcut biases is difficult. Chief among these biases is "singl…
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer
Wenda Xu, Michael Saxon, Misha Sra +1
Expert-layman text style transfer technologies have the potential to improve communication between members of scientific communities and the general public. High-quality informatio…
End-to-End Spoken Language Understanding for Generalized Voice Assistants
Michael Saxon, Samridhi Choudhary, Joseph P. McKenna +1
End-to-end (E2E) spoken language understanding (SLU) systems predict utterance semantics directly from speech using a single model. Previous work in this area has focused on target…
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Xinyi Wang, Wenhu Chen, Michael Saxon +1
Although deep learning models have driven state-of-the-art performance on a wide array of tasks, they are prone to spurious correlations that should not be learned as predictive cl…
Modeling Disclosive Transparency in NLP Application Descriptions
Michael Saxon, Sharon Levy, Xinyi Wang +2
Broader disclosive transparencytruth and clarity in communication regarding the function of AI systemsis widely considered desirable. Unfortunately, it is a nebulous concept,…
Investigating Memorization of Conspiracy Theories in Text Generation
Sharon Levy, Michael Saxon, William Yang Wang
The adoption of natural language generation (NLG) models can leave individuals vulnerable to the generation of harmful information memorized by the models, such as conspiracy theor…