Jul 15, 2024 · In this paper we seek to integrate MBR more tightly in distillation training, specifically by using several high scoring MBR translations, ...
Oct 15, 2024 · The paper focuses on improving sequence knowledge distillation by extending minimum Bayes risk (MBR) decoding, calculating loss for top-n MBR ...
Jul 15, 2024 · The predominant sequence knowledge distillation method involves supervised learning of the student against teacher-decoded outputs, and is ...
This paper seeks to integrate MBR more tightly in distillation training, specifically by using several high scoring MBR translations, rather than a single ...
Jul 15, 2024 · In this paper we seek to integrate MBR more tightly in distillation training, specifically by using several high scoring MBR translations, ...
This paper enhances sequence-level knowledge distillation in machine translation using Minimum Bayes Risk decoding to achieve better performance and data ...
Jul 15, 2024 · The proposed "Don't Throw Away Data" (DTAD) method aims to address this issue by preserving more of the teacher's sequence-level knowledge ...
Don't Throw Away Data: Better Sequence Knowledge Distillation · 26 Sept 2024 (modified: 12 Oct 2024) · ICLR 2025 Conference Submission · Readers: Everyone ...
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Don't Throw Away Data: Better Sequence Knowledge Distillation Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn, Paper.
Don't Throw Away Data: Better Sequence Knowledge Distillation ... A critical component in knowledge distillation is the means of coupling the teacher and student.