| Prompting large language models with speech recognition abilities Y Fathullah, C Wu, E Lakomkin, J Jia, Y Shangguan, K Li, J Guo, W Xiong, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 43 | 2024 |
| Subsequence based deep active learning for named entity recognition P Radmard, Y Fathullah, A Lipani Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 29 | 2021 |
| Ensemble distillation approaches for grammatical error correction Y Fathullah, MJF Gales, A Malinin ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 12 | 2021 |
| Improved large-margin softmax loss for speaker diarisation Y Fathullah, C Zhang, PC Woodland ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 11 | 2020 |
| Multi-head state space model for speech recognition Y Fathullah, C Wu, Y Shangguan, J Jia, W Xiong, J Mahadeokar, C Liu, ... arXiv preprint arXiv:2305.12498, 2023 | 10* | 2023 |
| Cued at probsum 2023: Hierarchical ensemble of summarization models P Manakul, Y Fathullah, A Liusie, V Raina, V Raina, M Gales arXiv preprint arXiv:2306.05317, 2023 | 9 | 2023 |
| End-to-end speech recognition contextualization with large language models E Lakomkin, C Wu, Y Fathullah, O Kalinli, ML Seltzer, C Fuegen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 8 | 2024 |
| Self-distribution distillation: efficient uncertainty estimation Y Fathullah, MJF Gales Uncertainty in Artificial Intelligence, 663-673, 2022 | 7 | 2022 |
| AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs Y Fathullah, C Wu, E Lakomkin, K Li, J Jia, Y Shangguan, J Mahadeokar, ... arXiv preprint arXiv:2311.06753, 2024 | 3* | 2024 |
| Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties Y Fathullah, G Xia, MJF Gales Uncertainty in Artificial Intelligence, 582-591, 2023 | 3 | 2023 |
| Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models A Liusie, Y Fathullah, MJF Gales arXiv preprint arXiv:2403.13590, 2024 | 2 | 2024 |
| Who Needs Decoders? Efficient Estimation of Sequence-level Attributes Y Fathullah, P Radmard, A Liusie, MJF Gales arXiv preprint arXiv:2305.05098, 2023 | 1 | 2023 |
| Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons A Liusie, V Raina, Y Fathullah, M Gales arXiv preprint arXiv:2405.05894, 2024 | | 2024 |
| Efficient Sample-Specific Encoder Perturbations Y Fathullah, MJF Gales arXiv preprint arXiv:2405.01601, 2024 | | 2024 |
| TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models Y Shangguan, H Yang, D Li, C Wu, Y Fathullah, D Wang, A Dalmia, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Mark GalesCambridge University在 eng.cam.ac.uk 的电子邮件经过验证
