Sotabase

Career

· Postdoctoral Researcher, Massachusetts Institute of Technology2022–
· PhD Student, McGill University2014–2022
· Research Assistant, McGill University2014–2015
· Master of Engineering in Electrical and Computer Engineering, McGill University2011–2014
· Visiting Student Researcher, UC Berkeley2010–
· Research Intern, Mobinets2009–
· Bachelor of Engineering in Computer and Communications Engineering, American University of Beirut2007–2011

Publications (82)

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
NAACL-HLT · 2023
208
cited
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI
arXiv.org · 2023
89
cited
Consent in Crisis: The Rapid Decline of the AI Data Commons
Neural Information Processing Systems · 2024
67
cited
A large-scale audit of dataset licensing and attribution in AI
Nature Machine Intelligence · 2024
53
cited
PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences
arXiv.org · 2023
45
cited
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
Workshop on Graph-based Methods for Natural Language Processing · 2023
42
cited
Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks
2016
38
cited
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
Annual Meeting of the Association for Computational Linguistics · 2024
37
cited
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
Annual Meeting of the Association for Computational Linguistics · 2024
29
cited
On the Relationship between Truth and Political Bias in Language Models
Conference on Empirical Methods in Natural Language Processing · 2024
25
cited
Data Authenticity, Consent, and Provenance for AI Are All Broken: What Will It Take to Fix Them?
An MIT Exploration of Generative AI · 2024
24
cited
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
International Conference on Machine Learning · 2024
22
cited
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences
International Conference on Computational Linguistics · 2022
15
cited
PersonaLLM: Investigating the Ability of Large Language Models to Express Big Five Personality Traits
13
cited
Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
Annual Meeting of the Association for Computational Linguistics · 2018
10
cited
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
arXiv.org · 2024
10
cited
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Annual Meeting of the Association for Computational Linguistics · 2023
7
cited
Fora: A corpus and framework for the study of facilitated dialogue
Annual Meeting of the Association for Computational Linguistics · 2024
7
cited
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks
Annual Meeting of the Association for Computational Linguistics · 2025
5
cited
Computational Investigations of Pragmatic Effects in Natural Language
North American Chapter of the Association for Computational Linguistics · 2019
4
cited
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Jad Kabbara | Researcher Profile | Sotabase | Sotabase