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Eliza Mik

2 papers hereh-index 8480 citations44 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2

identity via Semantic Scholar / OpenAlex

most citedCaveat Lector: Large Language Models in Legal Practice

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2026

Contractual Deepfakes: Can Large Language Models Generate Contracts?

Eliza Mik

Notwithstanding their unprecedented ability to generate text, LLMs do not understand the meaning of words, have no sense of context and cannot reason. Their output constitutes an a…

cs.CL2024★ 6 cited

Caveat Lector: Large Language Models in Legal Practice

Eliza Mik

The current fascination with large language models, or LLMs, derives from the fact that many users lack the expertise to evaluate the quality of the generated text. LLMs may theref…

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