| Massive: A 1m-example multilingual natural language understanding dataset with 51 typologically-diverse languages J FitzGerald, C Hench, C Peris, S Mackie, K Rottmann, A Sanchez, ... arXiv preprint arXiv:2204.08582, 2022 | 83 | 2022 |
| Alexatm 20b: Few-shot learning using a large-scale multilingual seq2seq model S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... arXiv preprint arXiv:2208.01448, 2022 | 79 | 2022 |
| Alexa teacher model: Pretraining and distilling multi-billion-parameter encoders for natural language understanding systems J FitzGerald, S Ananthakrishnan, K Arkoudas, D Bernardi, A Bhagia, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 68 | 2022 |
| A rotating scatter mask for inexpensive gamma-ray imaging in orphan source search: Simulation results JGM FitzGerald IEEE Transactions on Nuclear Science 62 (1), 340-348, 2015 | 21 | 2015 |
| Controlling the extraction of memorized data from large language models via prompt-tuning MS Ozdayi, C Peris, J FitzGerald, C Dupuy, J Majmudar, H Khan, R Parikh, ... arXiv preprint arXiv:2305.11759, 2023 | 17 | 2023 |
| Canary: ion spectroscopy for ionospheric sensing HS Feldmesser, MAG Darrin, R Osiander, LJ Paxton, AQ Rogers, ... Space Missions and Technologies 7691, 123-135, 2010 | 17 | 2010 |
| A modulating liquid collimator for coded aperture adaptive imaging of gamma-rays JGM FitzGerald, LW Burggraf, BR Kowash, EL Hull IEEE Transactions on Nuclear Science 60 (3), 2300-2307, 2013 | 8 | 2013 |
| Alexatm 20b: Few-shot learning using a large-scale multilingual seq2seq model, 2022 S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... URL https://arxiv. org/abs/2208.01448 94, 0 | 8 | |
| AlexaTM 20B: Few-shot learning using a large-scale multilingual seq2seq model. arXiv 2022 S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... arXiv preprint arXiv:2208.01448, 2022 | 7 | 2022 |
| STIL--Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++ JGM FitzGerald arXiv preprint arXiv:2010.00760, 2020 | 7 | 2020 |
| False invocation rejection for speech processing systems S Makashir, A Carre, J FitzGerald, C Zhang, P Bhargava, C Nagaraju, ... US Patent 11,195,522, 2021 | 3 | 2021 |
| A Programmable Liquid Collimator for Both Coded Aperture Adaptive Imaging and Multiplexed Compton Scatter Tomography JGM FitzGerald | 3 | 2012 |
| Alexa teacher model J FitzGerald, S Ananthakrishnan, K Arkoudas, D Bernardi, A Bhagia, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
| Reconfigurable liquid attenuated collimator LW Burggraf, BR Kowash, JGM FitzGerald US Patent 9,431,141, 2016 | 2 | 2016 |
| Massively multilingual natural language understanding 2022 (MMNLU-22) workshop and competition J FitzGerald, C Hench, C Peris, K Rottmann Proceedings of the Massively Multilingual Natural Language Understanding …, 2022 | 1 | 2022 |
| Converting the point of view of messages spoken to virtual assistants IG Lee, V Zu, SS Buddi, D Liang, P Kulkarni, JGM Fitzgerald arXiv preprint arXiv:2010.02600, 2020 | 1 | 2020 |
| MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources D Lee, CS Prakash, J FitzGerald, J Lehmann arXiv preprint arXiv:2406.04670, 2024 | | 2024 |
| Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning M Safa Ozdayi, C Peris, J FitzGerald, C Dupuy, J Majmudar, H Khan, ... arXiv e-prints, arXiv: 2305.11759, 2023 | | 2023 |
| Mixture of Domain Experts for Language Understanding: an Analysis of Modularity, Task Performance, and Memory Tradeoffs B Kleiner, JGM Fitzgerald, H Khan, G Tur 2022 IEEE Spoken Language Technology Workshop (SLT), 346-352, 2023 | | 2023 |
