arXiv Machine Learning August 18, 2026 By Suze van Adrichem, Aditi Bhaskar, Diyi Yang, Christopher Potts, Jing Huang

Do Language Models Consistently Encode the Current Year?

Read the original on arXiv Machine Learning →

arXiv:2608. 15507v1 Announce Type: cross Abstract: A consistent concept of the current time is important for temporal reasoning, yet how language models represent the current time is not well understood.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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