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Large language models (LLMs) often exhibit hallucinations due to incorrect or outdated knowledge.
Automatically constructing a corpus of sentential paraphrases
William B. Dolan and Chris Brockett · 2005
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Visualizing data using t-sne
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The fifth PASCAL recognizing textual entailment challenge
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Introduction to linear algebra
Serge Lang · 2012
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Language models are few-shot learners
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How much knowledge can you pack into the parameters of a language model?
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Modifying memories in transformer models
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, and Sanjiv Kumar · 2020
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Editing factual knowledge in language models
Nicola De Cao, Wilker Aziz, and Ivan Titov · 2021
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Transformer feed-forward layers are key-value memories
Mor Geva, Roei Schuster, Jonathan Berant, and Omer Levy · 2021
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Training networks in null space of feature covariance for continual learning
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Aman Madaan, Niket Tandon, Peter Clark, and Yiming Yang · 2022
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Model editing at scale leads to gradual and catastrophic forgetting
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Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, and Marzyeh Ghassemi · 2023
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Does localization inform editing? surprising differences in causality-based localization vs. knowledge editing in language models
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Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, and Baobao Chang · 2023
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