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Jasmijn Bastings
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2020 – today
- 2024
- [c19]Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings:
MiTTenS: A Dataset for Evaluating Gender Mistranslation. EMNLP 2024: 4115-4124 - [c18]Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata:
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study. NAACL-HLT (Findings) 2024: 1202-1228 - [i19]Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings:
MiTTenS: A Dataset for Evaluating Misgendering in Translation. CoRR abs/2401.06935 (2024) - 2023
- [j2]Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova:
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. J. Artif. Intell. Res. 78: 459-489 (2023) - [j1]Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Kehang Han, Michelle Casbon, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 24: 377:1-377:8 (2023) - [c17]Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson:
Dissecting Recall of Factual Associations in Auto-Regressive Language Models. EMNLP 2023: 12216-12235 - [c16]Alon Jacovi
, Jasmijn Bastings
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. FAccT 2023: 247 - [c15]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [i18]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i17]Mor Geva
Dissecting Recall of Factual Associations in Auto-Regressive Language Models. CoRR abs/2304.14767 (2023) - [i16]Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata:
Parameter-Efficient Multilingual Summarisation: An Empirical Study. CoRR abs/2311.08572 (2023) - 2022
- [c14]Natalia Ponomareva, Jasmijn Bastings, Sergei Vassilvitskii:
Training Text-to-Text Transformers with Privacy Guarantees. ACL (Findings) 2022: 2182-2193 - [c13]Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova:
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification. EMNLP 2022: 976-991 - [c12]Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans:
Autoregressive Diffusion Models. ICLR 2022 - [c11]Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra
The MultiBERTs: BERT Reproductions for Robustness Analysis. ICLR 2022 - [e2]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] - [i15]Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova:
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. CoRR abs/2201.11239 (2022) - [i14]Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. CoRR abs/2203.17189 (2022) - [i13]Tao Lei, Ran Tian, Jasmijn Bastings, Ankur P. Parikh:
Simple Recurrence Improves Masked Language Models. CoRR abs/2205.11588 (2022) - 2021
- [c10]Anders Søgaard, Sebastian Ebert, Jasmijn Bastings, Katja Filippova:
We Need To Talk About Random Splits. EACL 2021: 1823-1832 - [e1]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] - [i12]Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick:
The MultiBERTs: BERT Reproductions for Robustness Analysis. CoRR abs/2106.16163 (2021) - [i11]Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans:
Autoregressive Diffusion Models. CoRR abs/2110.02037 (2021) - [i10]Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova:
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification. CoRR abs/2111.07367 (2021) - 2020
- [c9]Jasmijn Bastings, Katja Filippova:
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? BlackboxNLP@EMNLP 2020: 149-155 - [c8]Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan:
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. EMNLP (Demos) 2020: 107-118 - [i9]Anders Søgaard, Sebastian Ebert, Jasmijn Bastings, Katja Filippova:
We Need to Talk About Random Splits. CoRR abs/2005.00636 (2020) - [i8]Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan:
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. CoRR abs/2008.05122 (2020) - [i7]Jasmijn Bastings, Katja Filippova:
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? CoRR abs/2010.05607 (2020)
2010 – 2019
- 2019
- [c7]Jasmijn Bastings, Wilker Aziz
Interpretable Neural Predictions with Differentiable Binary Variables. ACL (1) 2019: 2963-2977 - [c6]Julia Kreutzer, Jasmijn Bastings, Stefan Riezler:
Joey NMT: A Minimalist NMT Toolkit for Novices. EMNLP/IJCNLP (3) 2019: 109-114 - [i6]Jasmijn Bastings, Wilker Aziz, Ivan Titov, Khalil Sima'an:
Modeling Latent Sentence Structure in Neural Machine Translation. CoRR abs/1901.06436 (2019) - [i5]Jasmijn Bastings, Wilker Aziz, Ivan Titov:
Interpretable Neural Predictions with Differentiable Binary Variables. CoRR abs/1905.08160 (2019) - [i4]Julia Kreutzer, Jasmijn Bastings, Stefan Riezler:
Joey NMT: A Minimalist NMT Toolkit for Novices. CoRR abs/1907.12484 (2019) - 2018
- [c5]Jasmijn Bastings, Marco Baroni, Jason Weston, Kyunghyun Cho, Douwe Kiela:
Jump to better conclusions: SCAN both left and right. BlackboxNLP@EMNLP 2018: 47-55 - [c4]Diego Marcheggiani, Jasmijn Bastings, Ivan Titov:
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. NAACL-HLT (2) 2018: 486-492 - [i3]Diego Marcheggiani, Jasmijn Bastings, Ivan Titov:
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. CoRR abs/1804.08313 (2018) - [i2]Jasmijn Bastings, Marco Baroni, Jason Weston, Kyunghyun Cho, Douwe Kiela:
Jump to better conclusions: SCAN both left and right. CoRR abs/1809.04640 (2018) - 2017
- [c3]Jasmijn Bastings, Ivan Titov, Wilker Aziz
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. EMNLP 2017: 1957-1967 - [c2]Jan-Thorsten Peter, Hermann Ney, Ondrej Bojar, Ngoc-Quan Pham, Jan Niehues
The QT21 Combined Machine Translation System for English to Latvian. WMT 2017: 348-357 - [i1]Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an:
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. CoRR abs/1704.04675 (2017) - 2014
- [c1]Jasmijn Bastings, Khalil Sima'an:
All Fragments Count in Parser Evaluation. LREC 2014: 78-82
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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