Jenny Kunz

Doktorand

Jag utvecklar tekniker som undersöker hur språklig information är uppbyggd inom Natural Language Processing (NLP)-modeller, och vilka begränsningarna för nuvarande modeller är.

Tolkbara och förklarbara NLP-modeller

Jag utvecklar tekniker som undersöker hur språklig information är uppbyggd inom Natural Language Processing (NLP)-modeller, och vilka begränsningarna för nuvarande modeller är.

 

Doktorsavhandling

Kortfattat CV

  • Bachelor’s degree in Computer Science from Humboldt University of Berlin (2016).
  • Master’s degree in Language Technology from Uppsala University (2018).
  • PhD Student at LiU (2019-today)
  • Best paper award for our Paper “Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions” at BlackboxNLP 2022.
  • Teaching Assistant: Text Mining, Language Technology, Natural Language Processing, Language and Computers, Neural Networks and Deep Learning.

Publikationer

2024

Jenny Kunz (2024) Understanding Large Language Models: Towards Rigorous and Targeted Interpretability Using Probing Classifiers and Self-Rationalisation
Jenny Kunz, Oskar Holmström (2024) The Impact of Language Adapters in Cross-Lingual Transfer for NLU
Marc Braun, Jenny Kunz (2024) A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models

2023

Oskar Holmström, Jenny Kunz, Marco Kuhlmann (2023) Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for Swedish Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), s. 92-110

2022

Jenny Kunz, Martin Jirénius, Oskar Holmström, Marco Kuhlmann (2022) Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, s. 164-177, Artikel 2022.blackboxnlp-1.14

Om avdelningen

Kollegor vid AIICS

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