Steering Large Language Models for Machine Translation Personalization (2026.eacl-long)
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| Challenge: | Recent advances in interpretability research have highlighted the effectiveness of steering methods for MT personalization. |
| Approach: | They examine steering strategies for personalizing automatic translations when few examples are available. |
| Outcome: | The proposed steering methods yield higher inference-time computational efficiency than prompting approaches. |
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