Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"Text Infilling"”.
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Discrete Diffusion for Text Infilling
Generative modeling of text is a fundamental challenge in natural language processing. While autoregressive models have achieved remarkable success, they face limitations in parallelizability and flexible control. Discrete diffusion models offer a promising alternative paradigm, leveraging …
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Generative Modeling with Guarantees
… the accuracy and trustworthiness of the text generated by these models. In parallel, differential privacy has emerged as a framework to protect sensitive information while allowing machine learning algorithms to learn from it. Nevertheless, the trade-off between statistical guarantees and …
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Controlling Neural Language Generation
… and filling in blanks. Given partially specified text with one or more blanks, BLM will fill in the blanks with a variable number of tokens consistent with the context. Our model is well suited for a variety of text editing and rewriting tasks and demonstrates effectiveness on text infilling, …