← all papers · overview

Dated Data: Tracing Knowledge Cutoffs In Large Language Models

Abstract

Released Large Language Models (LLMs) are often paired with a claimed knowledge cutoff date, or the dates at which training data was gathered. Such information is crucial for applications where the LLM must provide up to date information. However, this statement only scratches the surface: do all resources in the training data share the same knowledge cutoff date? Does the model's demonstrated kno

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).