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Tessa Verhoef

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.HC1
ORCID 0000-0002-1219-3730

identity via Semantic Scholar / OpenAlex

most citedTowards affective computing that works for everyone

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024

What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models

Tessa Verhoef, Kiana Shahrasbi, Tom Kouwenhoven

Humans have clear cross-modal preferences when matching certain novel words to visual shapes. Evidence suggests that these preferences play a prominent role in our linguistic proce…

cs.CL2024

Memory-Augmented Generative Adversarial Transformers

Stephan Raaijmakers, Roos Bakker, Anita Cremers +3

Conversational AI systems that rely on Large Language Models, like Transformers, have difficulty interweaving external data (like facts) with the language they generate. Vanilla Tr…

cs.HC2023★ 3 cited

Towards affective computing that works for everyone

Tessa Verhoef, Eduard Fosch-Villaronga

Missing diversity, equity, and inclusion elements in affective computing datasets directly affect the accuracy and fairness of emotion recognition algorithms across different group…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.