Jaap Jumelet

According to our database, Jaap Jumelet authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

ChapGTP, ILLC's Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation.

Jaap Jumelet, Michael Hanna, Marianne de Heer Kloots, Anna Langedijk, Charlotte Pouw, Oskar van der Wal

CoRR, 2023

DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers.

Anna Langedijk, Hosein Mohebbi, Gabriele Sarti, Willem H. Zuidema, Jaap Jumelet

CoRR, 2023

Curriculum Learning with Adam: The Devil Is in the Wrong Details.

Lucas Weber, Jaap Jumelet, Paul Michel, Elia Bruni, Dieuwke Hupkes

CoRR, 2023

Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution.

Jaap Jumelet, Willem H. Zuidema

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue.

Aron Molnar, Jaap Jumelet, Mario Giulianelli, Arabella Sinclair

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Feature Interactions Reveal Linguistic Structure in Language Models.

Jaap Jumelet, Willem H. Zuidema

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations.

Arabella J. Sinclair, Jaap Jumelet, Willem H. Zuidema, Raquel Fernández

Trans. Assoc. Comput. Linguistics, 2022

The Birth of Bias: A case study on the evolution of gender bias in an English language model.

Oskar van der Wal, Jaap Jumelet, Katrin Schulz, Willem H. Zuidema

CoRR, 2022

2021

Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations.

Arabella Sinclair, Jaap Jumelet, Willem H. Zuidema, Raquel Fernández

CoRR, 2021

Language Modelling as a Multi-Task Problem.

Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Language Models Use Monotonicity to Assess NPI Licensing.

Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Attention vs non-attention for a Shapley-based explanation method.

Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes

Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

2020

diagNNose: A Library for Neural Activation Analysis.

Jaap Jumelet

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment.

Jaap Jumelet, Willem H. Zuidema, Dieuwke Hupkes

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items.

Jaap Jumelet, Dieuwke Hupkes

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018