Papers with salient personalization properties

1 papers
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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