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Found 5 papers, 2 papers with code
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
Finally, we find that learning with stories shows a higher retention rate for non-native speakers in the follow-up assessment.
Verifiable evaluations of machine learning models using zkSNARKs
In a world of increasing closed-source commercial machine learning models, model evaluations from developers must be taken at face value.
The Law and NLP: Bridging Disciplinary Disconnects
Legal practice is intrinsically rooted in the fabric of language, yet legal practitioners and scholars have been slow to adopt tools from natural language processing (NLP).
A Study of Compositional Generalization in Neural Models
One difficulty in the development of such models is the lack of benchmarks with clear compositional and relational task structure on which to systematically evaluate them.
Modeling the Temporal Nature of Human Behavior for Demographics Prediction
Mobile phone metadata is increasingly used for humanitarian purposes in developing countries as traditional data is scarce.
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