Papers by Marko Veljanovski
DoubleLingo: Causal Estimation with Large Language Models (2024.naacl-short)
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| Challenge: | Existing methods for causal estimation are inadequate for noisy text data. |
| Approach: | They propose to use LLM-based nuisance models to estimate causal effects from non-randomized data using assumptions about the underlying data distribution. |
| Outcome: | The proposed method reduces the relative absolute error by 10.4% over existing methods on the best available dataset. |