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ChronoBerg

model1 events
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.

language-models/dataset/temporal-reasoning/arxiv