| 2026 | AAAI | LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users. | Elinor Poole-Dayan, Deb Roy, Jad Kabbara |
| 2026 | ACL | Common to Whom? Regional Cultural Commonsense and LLM Bias in India. | Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, Renata Dividino, Jad Kabbara, Ali Emami |
| 2026 | ACL | DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training. | Ziwen Pan, Zihan Liang, Jad Kabbara, Ali Emami |
| 2025 | ACL | Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks. | Hope Schroeder, Deb Roy, Jad Kabbara |
| 2025 | CHI | AI-assisted sensemaking: Human-AI collaboration for the analysis and interpretation of recorded facilitated conversations. | Jad Kabbara, Thanh-Mai Phan, Marina Rakhilin, Maya E. Detwiller, Dimitra Dimitrakopoulou, Deb Roy |
| 2025 | COLING | Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts. | Shrestha Mohanty, Sarah Xuan, Jacob Jobraeel, Anurag Kumar, Deb Roy, Jad Kabbara |
| 2025 | EMNLP | Computational Analysis of Conversation Dynamics through Participant Responsivity. | Margaret A. Hughes, Brandon Roy, Elinor Poole-Dayan, Deb Roy, Jad Kabbara |
| 2024 | ACL | Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. | Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel T. Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb K. Roy, Jad Kabbara |
| 2024 | ACL | Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models. | Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami |
| 2024 | ACL | Fora: A corpus and framework for the study of facilitated dialogue. | Hope Schroeder, Deb Roy, Jad Kabbara |
| 2024 | EMNLP | On the Relationship between Truth and Political Bias in Language Models. | Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara |
| 2024 | ICML | Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? | Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Alex Pentland, Jad Kabbara |
| 2024 | NAACL | PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits. | Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, Jad Kabbara |
| 2023 | ACL | Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models. | Robert Morabito, Jad Kabbara, Ali Emami |
| 2023 | EMNLP | Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions. | Jad Kabbara, Jackie Chi Kit Cheung |
| 2022 | COLING | Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences. | Jad Kabbara, Jackie Chi Kit Cheung |
| 2021 | ACL | Proceedings of the ACL-IJCNLP 2021 Student Research Workshop. | Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas |
| 2021 | EMNLP | Post-Editing Extractive Summaries by Definiteness Prediction. | Jad Kabbara, Jackie Chi Kit Cheung |
| 2019 | NAACL | Computational Investigations of Pragmatic Effects in Natural Language. | Jad Kabbara |
| 2018 | ACL | Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. | Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung |
| 2017 | IJCNN | Relevance effect: Exploiting Bayesian networks to improve supervised learning. | Ardavan Salehi Nobandegani, Jad Kabbara, Ioannis N. Psaromiligkos |
| 2016 | COLING | Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs. | Jad Kabbara, Yulan Feng, Jackie Chi Kit Cheung |
| 2014 | ICASSP | Improving the tracking ability of KRLS using Kernel Subspace Pursuit. | Jad Kabbara, Ioannis N. Psaromiligkos |