FIELD NOTES TOPIC

data errors

1 note, newest first.

  1. When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors

    Source note ·

    The research evaluates the issue of data referencing errors (DREs) made by large language models (LLMs) while performing table tasks. The study presents a systematic evaluation of these errors across different models…