Using multiple ASR hypotheses to boost i18n NLU performance. - Charith Peris; Gokmen Oz; Khadige Abboud; Venkata sai Varada; Prashan Wanigasekara; Haidar Khan (ICON, 2020)

Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks. - Charith Peris; Lizhen Tan; Thomas Gueudré; Turan Gojayev; Pan Wei; Gokmen Oz (EMNLP (Industry Track), 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (KDD, 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (CoRR, 2022)

Towards Equitable Natural Language Understanding Systems for Dialectal Cohorts: Debiasing Training Data. - Khadige Abboud; Gokmen Oz (LREC/COLING, 2024)

CALICO: Conversational Agent Localization via Synthetic Data Generation. - Andy Rosenbaum; Pegah Kharazmi; Ershad Banijamali; Lu Zeng; Christopher DiPersio; Pan Wei; Gokmen Oz; Clement Chung; Karolina Owczarzak; Fabian Triefenbach; Wael Hamza (CoRR, 2024)