Papers by Catalina Goanta
Regulation and NLP (RegNLP): Taming Large Language Models (2023.emnlp-main)
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| Challenge: | polarization in AI safety and ethics debates are swaying political agendas on AI regulation and governance . regulation studies are rich source of knowledge on how to systematically deal with risk and uncertainty . |
| Approach: | They argue that NLP research can benefit from proximity to regulatory studies . they argue that regulation studies should focus on linking scientific knowledge to regulatory processes . |
| Outcome: | The proposed research space should focus on linking scientific knowledge to regulatory processes based on systematic methodologies. |
LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development (2023.acl-long)
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| Challenge: | In this study, we examine the performance of legal-oriented pre-trained language models. |
| Approach: | They conduct a detailed analysis on the performance of legal-oriented pre-trained language models by examining their original objective, acquired knowledge, and legal language understanding capacities. |
| Outcome: | The results show that the models' size and pre-training corpora are important for the development of domain-specific models. |