Adil Soubki

According to our database, Adil Soubki authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Training LLMs to Recognize Hedges in Spontaneous Narratives.

Amie J. Paige, Adil Soubki, John Murzaku, Owen Rambow, Susan E. Brennan

CoRR, 2024

Multimodal Belief Prediction.

John Murzaku, Adil Soubki, Owen Rambow

CoRR, 2024

Examining Gender and Power on Wikipedia through Face and Politeness.

Adil Soubki, Shyne Choi, Owen Rambow

Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

Training LLMs to Recognize Hedges in Dialogues about Roadrunner Cartoons.

Amie J. Paige, Adil Soubki, John Murzaku, Owen Rambow, Susan E. Brennan

Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

Intention and Face in Dialog.

Adil Soubki, Owen Rambow

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground.

Adil Soubki, John Murzaku, Arash Yousefi Jordehi, Peter Zeng, Magdalena Markowska, Seyed Abolghasem Mirroshandel, Owen Rambow

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Data driven discovery of systems of ordinary differential equations using nonconvex multitask learning.

Clément Lejeune, Josiane Mothe, Adil Soubki, Olivier Teste

Mach. Learn., May, 2023

Benchmarking State-Merging Algorithms for Learning Regular Languages.

Adil Soubki, Jeffrey Heinz

Proceedings of the International Conference on Grammatical Inference, 2023

Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations.

Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki, Seyed Abolghasem Mirroshandel, Owen Rambow

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Détection d'anomalies basée sur la forme dans les données fonctionnelles multivariées.

Clément Lejeune, Josiane Mothe, Adil Soubki, Olivier Teste

Proceedings of the Business Intelligence & Big Data, 2021

2020

Shape-based outlier detection in multivariate functional data.

Clément Lejeune, Josiane Mothe, Adil Soubki, Olivier Teste

Knowl. Based Syst., 2020