| 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 | 63 | 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 | 61 | 2022 |
| 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 | 9 | |
| Instilling type knowledge in language models via multi-task QA S Li, M Sridhar, CS Prakash, J Cao, W Hamza, J McAuley arXiv preprint arXiv:2204.13796, 2022 | 8 | 2022 |
| 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 | 5 | 2022 |
| Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU J Cao, CS Prakash, W Hamza Findings of the Association for Computational Linguistics: NAACL 2022, 857-866, 2022 | 2 | 2022 |
| Alexa Teacher Models JGM FitzGerald, S Ananthakrishnan, K Arkoudas, D Bernardi, A Bhagia, ... ICON, 2021 | 2 | 2021 |
| FARS: FSM-Augmentation to Make LLMs Hallucinate the Right APIs S Rongali, CS Prakash, A Gupta, W Hamza | | 2023 |
| Shared encoder for natural language understanding processing JJ Hueser, F Triefenbach, CS Prakash, J Cao, W Hamza, M Momotko US Patent App. 17/690,609, 2023 | | 2023 |
| Sharing encoder representations across languages, domains and tasks in large-scale spoken language understanding J Hueser, J Gaspers, T Gueudre, C Prakash, J Cao, D Sorokin, Q Do, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | | 2023 |
