3 accepted papers
This paper combines autoregressive and masked-diffusion training objectives without any architectural modifications, resulting in flexible models that outperform the standard single-objective models in both settings. Autoregressive language modeling has been a popular approach, partly because of its…
Documents revealing sensitive information about individuals must typically be de-identified. This de-identification is often done by masking all mentions of personally identifiable information (PII), thereby making it more difficult to uncover the identity of the person(s) in question. To investigat…
Systematic generalization remains challenging for current language models, which are known to be both sensitive to semantically similar permutations of the input and to struggle with known concepts presented in novel contexts. Although benchmarks exist for assessing compositional behavior, it is unc…