Large language models can learn temporal reasoning

S **ong, A Payani, R Kompella, F Fekri - arxiv preprint arxiv:2401.06853, 2024 - arxiv.org
While large language models (LLMs) have demonstrated remarkable reasoning capabilities,
they are not without their flaws and inaccuracies. Recent studies have introduced various …

Timo: Towards better temporal reasoning for language models

Z Su, J Zhang, T Zhu, X Qu, J Li, M Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Reasoning about time is essential for Large Language Models (LLMs) to understand the
world. Previous works focus on solving specific tasks, primarily on time-sensitive question …

Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models

H Beniwal, D Patel, D Kowsik, H Ladia… - Findings of the …, 2024 - aclanthology.org
Abstract Large Language Models (LLMs) are increasingly ubiquitous, yet their ability to
retain and reason about temporal information remains limited, hindering their application in …