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papersTODAY 04:00 UTC

Study compares domain jargon handling in general-purpose vs specialist LLMs

A new arXiv preprint examines how well large language models handle terminology from highly technical fields, noting that general-purpose systems tend to lose accuracy outside everyday tasks. The authors compare general-purpose and domain-specialist models to probe what parametric knowledge of specialized terms each type retains. The work is cross-listed under computation and language and machine learning.

llm/domain-specific/evaluation/arxiv