Prasetya Ajie Utama

According to our database, Prasetya Ajie Utama authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Robustness of Pre-trained Language Models for Natural Language Understanding.

Prasetya Ajie Utama

PhD thesis, 2024

2022

Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization.

Prasetya Ajie Utama, Joshua Bambrick, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

IMPLI: Investigating NLI Models' Performance on Figurative Language.

Kevin Stowe, Prasetya Ajie Utama, Iryna Gurevych

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.

Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures.

Nafise Sadat Moosavi, Marcel de Boer, Prasetya Ajie Utama, Iryna Gurevych

CoRR, 2020

DBPal: A Fully Pluggable NL2SQL Training Pipeline.

Nathaniel Weir, Prasetya Ajie Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Ugur Çetintemel, Carsten Binnig

Proceedings of the 2020 International Conference on Management of Data, 2020

Towards Debiasing NLU Models from Unknown Biases.

Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance.

Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Generalization by Incorporating Coverage in Natural Language Inference.

Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych

CoRR, 2019

DBPal: Weak Supervision for Learning a Natural Language Interface to Databases.

Nathaniel Weir, Andrew Crotty, Alex Galakatos, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Ugur Çetintemel, Prasetya Ajie Utama, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Carsten Binnig

CoRR, 2019

Bootstrapping an End-to-End Natural Language Interface for Databases.

Nathaniel Weir, Prasetya Ajie Utama

Proceedings of the 2019 International Conference on Management of Data, 2019

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference.

Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

An End-to-end Neural Natural Language Interface for Databases.

Prasetya Ajie Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur Çetintemel, Benjamin Hättasch, Amir Ilkhechi, Shekar Ramaswamy, Arif Usta

CoRR, 2018

DBPal: A Learned NL-Interface for Databases.

Fuat Basik, Benjamin Hättasch, Amir Ilkhechi, Arif Usta, Shekar Ramaswamy, Prasetya Ajie Utama, Nathaniel Weir, Carsten Binnig, Ugur Çetintemel

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Towards Interactive Data Exploration.

Carsten Binnig, Fuat Basik, Benedetto Buratti, Ugur Çetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi, Tim Kraska, Zeyuan Shang, Isabella Tromba, Arif Usta, Prasetya Ajie Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen

Proceedings of the Real-Time Business Intelligence and Analytics, 2017