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[Re] Replication Study of ‘Generative causal explanations of black-box classifiers’

Published in ReScience C, 2021

Replication Study on post-hoc causal explanations for black-box classifiers through causal reference.

Recommended citation: Verhoeven, I., Chen, X., Hu, Q., and Holubar, M. 2021. [Re] Replication Study of ’Generative causal explanations of black-box classifiers.’ ReScience C 7, 2, #23.
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The BLA benchmark: Investigating basic language abilities of pre-trained multimodal models

Published in EMNLP, 2023

BLA is a novel, automatically constructed benchmark to evaluate vision-and-language models on Basic Language Abilities. In the BLA tasks, we explore to what extent the models handle basic linguistic constructions—active-passive voice, coordination, and relative clauses—that even preschool children can typically master.

Recommended citation: Xinyi Chen, Raquel Fernández, and Sandro Pezzelle. 2023. The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5817–5830, Singapore. Association for Computational Linguistics.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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