Papers with jointly modeling text
Time-Aware Language Models as Temporal Knowledge Bases (2022.tacl-1)
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Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen
| Challenge: | Existing language models are trained on snapshots of data collected at a specific moment in time. |
| Approach: | They propose a diagnostic dataset aimed at probing LMs for factual knowledge that changes over time. |
| Outcome: | The proposed method improves memorization of seen facts and calibration on unseen facts from future time periods. |