Papers with causality-inspired methods
A Causal View of Entity Bias in (Large) Language Models (2023.findings-emnlp)
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| Challenge: | Entity bias affects pretrained (large) language models, causing them to rely on (biased) parametric knowledge to make unfaithful predictions. |
| Approach: | They propose a structured causal model whose parameters are easier to estimate . they propose to perturb the original entity with neighboring entities . |
| Outcome: | The proposed model reduces biasing information pertaining to the original entity while still preserving sufficient semantic information from similar entities. |