Publications by authors named "Meghana Bhat"
Large language models as tax attorneys: a case study in legal capabilities emergence.
Philos Trans A Math Phys Eng Sci
April 2024
Article Synopsis
- This paper talks about Large Language Models (LLMs) and how they can help understand and analyze tax law better.
- It shows that LLMs can get better at understanding legal stuff over time, especially with new updates and using specific examples.
- The research suggests that while LLMs are improving, they still aren't as good as expert tax lawyers, but their growth could change how law works and how AI is controlled.
Background And Objectives: Factors in the biofilm influence the induction and advancement of the carious process. This study was done to relate and assess the levels of enzyme carbonic anhydrase VI, total protein, and antioxidants (superoxide dismutase [SOD], catalase, lipid peroxidase, and uric acid) in caries-free and caries-active children.
Methods: This case-control study comprised 60 children of age group 6-12 years who were evaluated for decayed missing filled teeth (dmft)/DMFT criteria and distributed into two groups: Group 1 - caries active (case) and Group 2 - caries free (control) for saliva collection with 30 participants in each of the above groups.