Implicit Personalization in Language Models: A Systematic Study (2024.findings-emnlp)
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Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan
| Challenge: | Existing studies have focused on the implicit personalization problem, but no unified framework exists to study it. |
| Approach: | They propose a mathematical formulation and a moral reasoning framework to study the phenomenon of Implicit Personalization (IP) they propose 'direct intervention' to estimate causal effect of mediator variable that cannot be directly intervened upon. |
| Outcome: | The proposed method estimates the causal effect of a mediator variable that cannot be directly intervened upon. |
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