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Dieuwke Hupkes
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2020 – today
- 2023
- [j3]Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin:
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5(10): 1161-1174 (2023) - [c31]Kaiser Sun, Adina Williams, Dieuwke Hupkes:
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoNLL 2023: 274-293 - [c30]Lucas Weber, Elia Bruni, Dieuwke Hupkes:
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. CoNLL 2023: 294-313 - [c29]Verna Dankers, Ivan Titov, Dieuwke Hupkes:
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. EMNLP 2023: 8323-8343 - [c28]Valentin Taillandier, Dieuwke Hupkes, Benoît Sagot, Emmanuel Dupoux, Paul Michel:
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication. ICLR 2023 - [i37]Xenia Ohmer, Elia Bruni, Dieuwke Hupkes:
Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses. CoRR abs/2305.11662 (2023) - [i36]Lucas Weber, Jaap Jumelet, Paul Michel, Elia Bruni, Dieuwke Hupkes:
Curriculum Learning with Adam: The Devil Is in the Wrong Details. CoRR abs/2308.12202 (2023) - [i35]Lucas Weber, Elia Bruni, Dieuwke Hupkes:
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. CoRR abs/2310.13486 (2023) - [i34]Kaiser Sun, Adina Williams, Dieuwke Hupkes:
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoRR abs/2310.17514 (2023) - [i33]Verna Dankers, Ivan Titov, Dieuwke Hupkes:
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. CoRR abs/2311.05379 (2023) - [i32]Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, Jean-Baptiste Gaya, Xavier Martinet, Grégoire Mialon, Thomas Scialom, Emmanuel Dupoux, Dieuwke Hupkes, Pascal Vincent:
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models. CoRR abs/2311.15930 (2023) - [i31]Lucas Weber, Elia Bruni, Dieuwke Hupkes:
The ICL Consistency Test. CoRR abs/2312.04945 (2023) - 2022
- [c27]Verna Dankers, Elia Bruni, Dieuwke Hupkes:
The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. ACL (1) 2022: 4154-4175 - [c26]Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov:
Sparse Interventions in Language Models with Differentiable Masking. BlackboxNLP@EMNLP 2022: 16-27 - [c25]Yair Lakretz, Théo Desbordes, Dieuwke Hupkes, Stanislas Dehaene:
Can Transformers Process Recursive Nested Constructions, Like Humans? COLING 2022: 3226-3232 - [c24]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. EMNLP (Findings) 2022: 4449-4472 - [c23]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit (TCT). AACL/IJCNLP (System Demonstrations) 2022: 72-87 - [e4]Jasmijn Bastings, Yonatan Belinkov, Yanai Elazar, Dieuwke Hupkes, Naomi Saphra, Sarah Wiegreffe:
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-05-0 [contents] - [i30]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit. CoRR abs/2210.01734 (2022) - [i29]Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin:
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR abs/2210.03050 (2022) - [i28]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. CoRR abs/2210.12574 (2022) - 2021
- [c22]Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld:
Language Models Use Monotonicity to Assess NPI Licensing. ACL/IJCNLP (Findings) 2021: 4958-4969 - [c21]Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes:
Attention vs non-attention for a Shapley-based explanation method. DeeLIO@NAACL-HLT 2021: 129-139 - [c20]Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, Dieuwke Hupkes:
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network. CoNLL 2021: 94-108 - [c19]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Language Modelling as a Multi-Task Problem. EACL 2021: 2049-2060 - [c18]Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Co-evolution of language and agents in referential games. EACL 2021: 2993-3004 - [c17]Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela:
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) 2021: 2888-2913 - [e3]Jasmijn Bastings, Yonatan Belinkov, Emmanuel Dupoux, Mario Giulianelli, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad:
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2021, Punta Cana, Dominican Republic, November 11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-955917-06-3 [contents] - [i27]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Language Modelling as a Multi-Task Problem. CoRR abs/2101.11287 (2021) - [i26]Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela:
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR abs/2104.06644 (2021) - [i25]Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes:
Attention vs non-attention for a Shapley-based explanation method. CoRR abs/2104.12424 (2021) - [i24]Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld:
Language Models Use Monotonicity to Assess NPI Licensing. CoRR abs/2105.13818 (2021) - [i23]Verna Dankers, Elia Bruni, Dieuwke Hupkes:
The paradox of the compositionality of natural language: a neural machine translation case study. CoRR abs/2108.05885 (2021) - [i22]Eugene Kharitonov, Marco Baroni, Dieuwke Hupkes:
How BPE Affects Memorization in Transformers. CoRR abs/2110.02782 (2021) - [i21]Yair Lakretz, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene:
Causal Transformers Perform Below Chance on Recursive Nested Constructions, Unlike Humans. CoRR abs/2110.07240 (2021) - [i20]Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov:
Sparse Interventions in Language Models with Differentiable Masking. CoRR abs/2112.06837 (2021) - [i19]Maartje ter Hoeve, Evgeny Kharitonov, Dieuwke Hupkes, Emmanuel Dupoux:
Towards Interactive Language Modeling. CoRR abs/2112.11911 (2021) - 2020
- [j2]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? J. Artif. Intell. Res. 67: 757-795 (2020) - [c16]Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Location Attention for Extrapolation to Longer Sequences. ACL 2020: 403-413 - [c15]Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes:
The Grammar of Emergent Languages. EMNLP (1) 2020: 3339-3359 - [c14]Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni:
Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency. EMNLP (Findings) 2020: 4428-4437 - [c13]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). IJCAI 2020: 5065-5069 - [e2]Afra Alishahi, Yonatan Belinkov, Grzegorz Chrupala, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad:
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2020, Online, November 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-86-6 [contents] - [i18]Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Co-evolution of language and agents in referential games. CoRR abs/2001.03361 (2020) - [i17]Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni:
Internal and external pressures on language emergence: least effort, object constancy and frequency. CoRR abs/2004.03868 (2020) - [i16]Yair Lakretz, Dieuwke Hupkes, Alessandra Vergallito, Marco Marelli, Marco Baroni, Stanislas Dehaene:
Exploring Processing of Nested Dependencies in Neural-Network Language Models and Humans. CoRR abs/2006.11098 (2020) - [i15]Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes:
The Grammar of Emergent Languages. CoRR abs/2010.02069 (2020)
2010 – 2019
- 2019
- [c12]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding Compositionally: Using Attention to Find More Generalizable Solutions. BlackboxNLP@ACL 2019: 1-11 - [c11]Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. BlackboxNLP@ACL 2019: 127-137 - [c10]Jaap Jumelet, Willem H. Zuidema, Dieuwke Hupkes:
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. CoNLL 2019: 1-11 - [c9]Rezka Leonandya, Dieuwke Hupkes, Elia Bruni, Germán Kruszewski:
The Fast and the Flexible: Training Neural Networks to Learn to Follow Instructions from Small Data. IWCS (1) 2019: 223-234 - [c8]Yair Lakretz, Germán Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni:
The emergence of number and syntax units in LSTM language models. NAACL-HLT (1) 2019: 11-20 - [c7]Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing Incrementality in Sequence-to-Sequence Models. RepL4NLP@ACL 2019: 209-217 - [e1]Tal Linzen, Grzegorz Chrupala, Yonatan Belinkov, Dieuwke Hupkes:
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@ACL 2019, Florence, Italy, August 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-30-7 [contents] - [i14]Willem H. Zuidema, Dieuwke Hupkes, Geraint A. Wiggins, Constance Scharff, Martin Rohrmeier:
Formal models of Structure Building in Music, Language and Animal Songs. CoRR abs/1901.05180 (2019) - [i13]Yair Lakretz, Germán Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni:
The emergence of number and syntax units in LSTM language models. CoRR abs/1903.07435 (2019) - [i12]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding compositionally: using attention to find more generalizable solutions. CoRR abs/1906.01234 (2019) - [i11]Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. CoRR abs/1906.01634 (2019) - [i10]Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing incrementality in sequence-to-sequence models. CoRR abs/1906.03293 (2019) - [i9]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
The compositionality of neural networks: integrating symbolism and connectionism. CoRR abs/1908.08351 (2019) - [i8]Jaap Jumelet, Willem H. Zuidema, Dieuwke Hupkes:
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. CoRR abs/1909.08975 (2019) - [i7]Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Location Attention for Extrapolation to Longer Sequences. CoRR abs/1911.03872 (2019) - 2018
- [j1]Dieuwke Hupkes, Sara Veldhoen, Willem H. Zuidema:
Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure. J. Artif. Intell. Res. 61: 907-926 (2018) - [c6]Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández:
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue. BlackboxNLP@EMNLP 2018: 165-174 - [c5]Jaap Jumelet, Dieuwke Hupkes:
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. BlackboxNLP@EMNLP 2018: 222-231 - [c4]Mario Giulianelli, Jack Harding, Florian Mohnert, Dieuwke Hupkes, Willem H. Zuidema:
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. BlackboxNLP@EMNLP 2018: 240-248 - [c3]Dieuwke Hupkes, Willem H. Zuidema:
Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract). IJCAI 2018: 5617-5621 - [i6]Dieuwke Hupkes, Anand Singh, Kris Korrel, Germán Kruszewski, Elia Bruni:
Learning compositionally through attentive guidance. CoRR abs/1805.09657 (2018) - [i5]Mario Giulianelli, Jack Harding, Florian Mohnert, Dieuwke Hupkes, Willem H. Zuidema:
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. CoRR abs/1808.08079 (2018) - [i4]Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández:
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue. CoRR abs/1808.09178 (2018) - [i3]Jaap Jumelet, Dieuwke Hupkes:
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. CoRR abs/1808.10627 (2018) - [i2]Rezka Leonandya, Elia Bruni, Dieuwke Hupkes, Germán Kruszewski:
The Fast and the Flexible: training neural networks to learn to follow instructions from small data. CoRR abs/1809.06194 (2018) - 2017
- [i1]Dieuwke Hupkes, Sara Veldhoen, Willem H. Zuidema:
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure. CoRR abs/1711.10203 (2017) - 2016
- [c2]Dieuwke Hupkes, Rens Bod:
POS-tagging of Historical Dutch. LREC 2016 - [c1]Sara Veldhoen, Dieuwke Hupkes, Willem H. Zuidema:
Diagnostic Classifiers Revealing how Neural Networks Process Hierarchical Structure. CoCo@NIPS 2016
Coauthor Index
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last updated on 2024-04-14 01:12 CEST by the dblp team
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