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papersSEP 12 04:00 UTC

ChronoBerg corpus aims to give language models long-term temporal structure

A new arXiv paper introduces ChronoBerg, a resource designed to capture how language changes over time and to help foundation models reason about temporal context. The authors argue that while existing training corpora are broad, they often lack the long-term chronological structure needed for time-aware language understanding. The work is posted as a cross-list replacement on arXiv cs.AI.

arXiv ChronoBerg language-change-over-time long-term-temporal-structure temporal reasoning time-aware-language-understanding

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLCHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models ↗SEP 11 04:00 UTC

arXiv cs.AICHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models ↗SEP 12 04:00 UTC