Large Language Models in Legal NLP
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About
This tool embodies the research and development efforts in creating and evaluating large language models specifically tailored for applications in the legal domain. Led by Joel Niklaus, a prominent NLP researcher, the project is centered around pretraining and fine-tuning models that cater to legal datasets, contributing significantly to legal NLP in Switzerland. Joel's extensive background, including experiences at Harvey and Google X, drives the innovation in this space.
Platform
Task
Features
• outstanding paper award at acl
• research published in top conferences
• dataset curation for multilingual training
• evaluation of legal language models
• development of llm systems
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