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researcher

David Karamardian

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedLarge Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence

13 citations · 13 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2023★ 13 cited

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence

John J. Nay, David Karamardian, Sarah B. Lawsky +6

Better understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence, and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.