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06/15/2023
Propagating Knowledge Updates to LMs Through Distillation
Modern language models have the capacity to store and use immense amount...
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05/24/2023
Mitigating Temporal Misalignment by Discarding Outdated Facts
While large language models are able to retain vast amounts of world kno...
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05/24/2023
Selectively Answering Ambiguous Questions
Trustworthy language models should abstain from answering questions when...
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05/02/2023
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Pre-trained language models (LMs) are used for knowledge intensive tasks...
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03/01/2023
DIFFQG: Generating Questions to Summarize Factual Changes
Identifying the difference between two versions of the same article is u...
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10/25/2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
Question answering models can use rich knowledge sources – up to one hun...
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05/05/2022
Entity Cloze By Date: What LMs Know About Unseen Entities
Language models (LMs) are typically trained once on a large-scale corpus...
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09/13/2021
SituatedQA: Incorporating Extra-Linguistic Contexts into QA
Answers to the same question may change depending on the extra-linguisti...
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09/03/2021