Introduces EURO-5K dataset from 136 EU acts and benchmarks full fine-tuning vs QLoRA for BERT and LLM models on reporting obligation extraction, reporting 0.89 F1 with limited gains from legal pretraining except under parameter-efficient adaptation.
In Proceedings of the Eighteenth In- ternational Conference on Artificial Intelligence and Law (New York, NY , USA) (ICAIL ’21)
2 Pith papers cite this work. Polarity classification is still indexing.
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Co-design process with lawyers produces visualizations and strategies for predicting and managing legal uncertainties in adaptive medical AI tools.
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Drawing Out Legal Risks: Co-Designing with Lawyers to Predict and Manage Legal Uncertainties of Medical AI Tools
Co-design process with lawyers produces visualizations and strategies for predicting and managing legal uncertainties in adaptive medical AI tools.