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20202022
most citedSchrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition

Jennifer C. White, Ryan Cotterell

Recent work has shown that despite their impressive capabilities, text-to-image diffusion models such as DALL-E 2 (Ramesh et al., 2022) can display strange behaviours when a prompt…

cs.CL20221 cited

Equivariant Transduction through Invariant Alignment

Jennifer C. White, Ryan Cotterell

The ability to generalize compositionally is key to understanding the potentially infinite number of sentences that can be constructed in a human language from only a finite number…

cs.CL2021

Examining the Inductive Bias of Neural Language Models with Artificial Languages

Jennifer C. White, Ryan Cotterell

Since language models are used to model a wide variety of languages, it is natural to ask whether the neural architectures used for the task have inductive biases towards modeling…

cs.CL2021

A Non-Linear Structural Probe

Jennifer C. White, Tiago Pimentel, Naomi Saphra +1

Probes are models devised to investigate the encoding of knowledge -- e.g. syntactic structure -- in contextual representations. Probes are often designed for simplicity, which has…

cs.CL2020

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection

Ekaterina Vylomova, Jennifer White, Elizabeth Salesky +25

A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from…