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; et al. (BIRTE (Revised Selected Papers), 2017)

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 (SIGMOD Conference, 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)

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 (ACL (1), 2019)

Bootstrapping an End-to-End Natural Language Interface for Databases. - Nathaniel Weir; Prasetya Ajie Utama (SIGMOD Conference, 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)

Improving Generalization by Incorporating Coverage in Natural Language Inference. - Nafise Sadat Moosavi; Prasetya Ajie Utama; Andreas Rücklé; Iryna Gurevych (CoRR, 2019)

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. - Prasetya Ajie Utama; Nafise Sadat Moosavi; Iryna Gurevych (ACL, 2020)

Towards Debiasing NLU Models from Unknown Biases. - Prasetya Ajie Utama; Nafise Sadat Moosavi; Iryna Gurevych (EMNLP (1), 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 (SIGMOD Conference, 2020)

Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures. - Nafise Sadat Moosavi; Marcel de Boer; Prasetya Ajie Utama; Iryna Gurevych (CoRR, 2020)

Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. - Prasetya Ajie Utama; Nafise Sadat Moosavi; Victor Sanh; Iryna Gurevych (EMNLP (1), 2021)

IMPLI: Investigating NLI Models' Performance on Figurative Language. - Kevin Stowe; Prasetya Ajie Utama; Iryna Gurevych (ACL (1), 2022)

Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization. - Prasetya Ajie Utama; Joshua Bambrick; Nafise Sadat Moosavi; Iryna Gurevych (NAACL-HLT, 2022)

Robustness of Pre-trained Language Models for Natural Language Understanding. - Prasetya Ajie Utama (2024)