Jasmijn Bastings

Orcid: 0000-0002-5445-4417

According to our database1, Jasmijn Bastings authored at least 23 papers between 2014 and 2024.

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Bibliography

2024
MiTTenS: A Dataset for Evaluating Misgendering in Translation.
CoRR, 2024

2023
Diagnosing AI Explanation Methods with Folk Concepts of Behavior.
J. Artif. Intell. Res., 2023

Parameter-Efficient Multilingual Summarisation: An Empirical Study.
CoRR, 2023

Scaling Vision Transformers to 22 Billion Parameters.
CoRR, 2023


Dissecting Recall of Factual Associations in Auto-Regressive Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Simple Recurrence Improves Masked Language Models.
CoRR, 2022

Scaling Up Models and Data with t5x and seqio.
CoRR, 2022

The MultiBERTs: BERT Reproductions for Robustness Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Autoregressive Diffusion Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Training Text-to-Text Transformers with Privacy Guarantees.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
We Need To Talk About Random Splits.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019
Modeling Latent Sentence Structure in Neural Machine Translation.
CoRR, 2019

Joey NMT: A Minimalist NMT Toolkit for Novices.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Interpretable Neural Predictions with Differentiable Binary Variables.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Jump to better conclusions: SCAN both left and right.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017
The QT21 Combined Machine Translation System for English to Latvian.
Proceedings of the Second Conference on Machine Translation, 2017

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2014
All Fragments Count in Parser Evaluation.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014


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