Generative Modeling with Guarantees
Language models have become ubiquitous in natural language processing, leveraging large amounts of unlabeled data and fine-tuning for downstream tasks. However, concerns have been raised regarding the accuracy and trustworthiness of the text generated by these models. In parallel, differential priva...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151388 |