Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement (2023.emnlp-main)
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| Challenge: | Existing research examines simple classification tasks, but ability of LMs to classify on complex tasks is less well understood. |
| Approach: | They analyze a Supreme Court opinion annotated by a team of domain experts . they find generative models perform poorly when given instructions equal to human annotators . |
| Outcome: | The proposed model performs poorly when given instructions equal to instructions given to human annotations . strongest results derive from fine-tuning models on the annotated dataset . |
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