Papers by Hansen Lillemark
Simple and Effective Input Reformulations for Translation (2023.emnlp-main)
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| Challenge: | Foundation language models learn from their finetuning input context in different ways. |
| Approach: | They propose three different data efficient techniques to improve translation performance . they reformulate inputs during finetuning for challenging translation tasks . |
| Outcome: | The proposed techniques show significant improvements on the Flores200 translation benchmark. |