| Corpora generation for grammatical error correction J Lichtarge, C Alberti, S Kumar, N Shazeer, N Parmar, S Tong arXiv preprint arXiv:1904.05780, 2019 | 168 | 2019 |
| Data weighted training strategies for grammatical error correction J Lichtarge, C Alberti, S Kumar Transactions of the Association for Computational Linguistics 8, 634-646, 2020 | 51 | 2020 |
| Weakly supervised grammatical error correction using iterative decoding J Lichtarge, C Alberti, S Kumar, N Shazeer, N Parmar arXiv preprint arXiv:1811.01710, 2018 | 26 | 2018 |
| Simple and effective gradient-based tuning of sequence-to-sequence models J Lichtarge, C Alberti, S Kumar arXiv preprint arXiv:2209.04683, 2022 | 3 | 2022 |
| Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models F Stahlberg, J Lichtarge, S Kumar arXiv preprint arXiv:2411.08610, 2024 | | 2024 |
| Heterogeneous Federated Learning Via Multi-Directional Knowledge Distillation JA Lichtarge, R Mathews, R Anil, E Amid, S Kumar US Patent App. 18/417,947, 2024 | | 2024 |
| FEDERATED KNOWLEDGE DISTILLATION ON AN ENCODER OF A GLOBAL ASR MODEL AND/OR AN ENCODER OF A CLIENT ASR MODEL E Amid, R Mathews, S Kumar, J Lichtarge, M Chen, T Yang, Y Ding US Patent App. 18/078,782, 2024 | | 2024 |
| Knowledge Distillation with Domain Mismatch For Speech Recognition Y Tien-Ju, YC Cheng, S Kumar, J Lichtarge, E Amid, Y Ding, R Mathews, ... US Patent App. 18/488,578, 2024 | | 2024 |
| Hybrid federated learning of machine learning model (s) E Amid, R Mathews, R Anil, S Kumar, J Lichtarge US Patent App. 18/074,729, 2024 | | 2024 |
| Heterogeneous Federated Learning Using Knowledge Codistillation J Lichtarge, E Amid, S Kumar, TJ Yang, R Anil, R Mathews arXiv preprint arXiv:2310.02549, 2023 | | 2023 |
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