Jad Kabbara

42 papers A* 5B 4Misc 1Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Common to Whom? Regional Cultural Commonsense and LLM Bias in India.
CoRR
Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, Renata Dividino, Jad Kabbara, Ali Emami
2026 A* conf
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users.
AAAI
Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2025 — conf
AI-assisted sensemaking: Human-AI collaboration for the analysis and interpretation of recorded facilitated conversations.
CHI Extended Abstracts
Jad Kabbara, Thanh-Mai Phan, Marina Rakhilin, Maya E. Detwiller, Dimitra Dimitrakopoulou, Deb Roy
2025 J jnl
An AI-Powered Framework for Analyzing Collective Idea Evolution in Deliberative Assemblies.
CoRR
Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2025 B conf
Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts.
COLING
Shrestha Mohanty, Sarah Xuan, Jacob Jobraeel, Anurag Kumar, Deb Roy, Jad Kabbara
2025 A* conf
Computational Analysis of Conversation Dynamics through Participant Responsivity.
EMNLP
Margaret A. Hughes, Brandon Roy, Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2025 J jnl
Computational Analysis of Conversation Dynamics through Participant Responsivity.
CoRR
Margaret A. Hughes, Brandon Roy, Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2025 — conf
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks.
ACL (Findings)
Hope Schroeder, Deb Roy, Jad Kabbara
2025 J jnl
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks.
CoRR
Hope Schroeder, Deb Roy, Jad Kabbara
2024 J jnl
A large-scale audit of dataset licensing and attribution in AI.
Nat. Mac. Intell.
Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker
2024 J jnl
Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts.
CoRR
Shrestha Mohanty, Sarah Xuan, Jacob Jobraeel, Anurag Kumar, Deb Roy, Jad Kabbara
2024 J jnl
Bridging the Data Provenance Gap Across Text, Speech and Video.
CoRR
Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad A. Alghamdi, Vu Minh Chien, Naana Obeng-Marnu, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, Deividas Mataciunas, Tobin South, Jianguo Zhang, Ariel Lee, Campbell Lund, Christopher Klamm, Damien Sileo, Diganta Misra, Enrico Shippole, Kevin Klyman, Lester JV Miranda, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Vipul Gupta, Vivek Sharma, Xuhui Zhou, Caiming Xiong, Luis Villa, Stella Biderman, Alex Pentland, Sara Hooker, Jad Kabbara
2024 — conf
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models.
ACL (1)
Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami
2024 J jnl
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models.
CoRR
Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami
2024 A* conf
Consent in Crisis: The Rapid Decline of the AI Data Commons.
NeurIPS
Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Shamiso Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kushagra Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Minh Chien Vu, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Alex Pentland
2024 J jnl
Consent in Crisis: The Rapid Decline of the AI Data Commons.
CoRR
Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland
2024 J jnl
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
CoRR
Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Sandy Pentland, Jad Kabbara
2024 — conf
Fora: A corpus and framework for the study of facilitated dialogue.
ACL (1)
Hope Schroeder, Deb Roy, Jad Kabbara
2024 J jnl
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users.
CoRR
Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2024 — conf
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling.
ACL (1)
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 J jnl
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling.
CoRR
Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel T. Kessler, Eric Ma, Tal August, Irene Li, Alex 'Sandy' Pentland, Yoon Kim, Jad Kabbara, Deb K. Roy
2024 A* conf
On the Relationship between Truth and Political Bias in Language Models.
EMNLP
Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2024 J jnl
On the Relationship between Truth and Political Bias in Language Models.
CoRR
Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2024 — conf
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits.
NAACL-HLT (Findings)
Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, Jad Kabbara
2024 A* conf
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
ICML
Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Alex Pentland, Jad Kabbara
2023 J jnl
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings.
CoRR
William Brannon, Suyash Fulay, Hang Jiang, Wonjune Kang, Brandon Roy, Jad Kabbara, Deb Roy
2023 — conf
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models.
ACL (Findings)
Robert Morabito, Jad Kabbara, Ali Emami
2023 J jnl
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models.
CoRR
Robert Morabito, Jad Kabbara, Ali Emami
2023 — conf
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions.
EMNLP (Findings)
Jad Kabbara, Jackie Chi Kit Cheung
2023 J jnl
PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences.
CoRR
Hang Jiang, Xiajie Zhang, Xubo Cao, Jad Kabbara
2023 J jnl
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.
CoRR
Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker
2022 B conf
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences.
COLING
Jad Kabbara, Jackie Chi Kit Cheung
2021 — conf
Post-Editing Extractive Summaries by Definiteness Prediction.
EMNLP (Findings)
Jad Kabbara, Jackie Chi Kit Cheung
2021 — ed.
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, ACL 2021, Online, JUli 5-10, 2021
ACL (student)
Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas
2021 — conf
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop.
ACL (student)
Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas
2019 — conf
Computational Investigations of Pragmatic Effects in Natural Language.
NAACL-HLT (Student Research Workshop)
Jad Kabbara
2018 — conf
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers.
ACL (1)
Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung
2018 J jnl
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers.
CoRR
Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung
2017 B conf
Relevance effect: Exploiting Bayesian networks to improve supervised learning.
IJCNN
Ardavan Salehi Nobandegani, Jad Kabbara, Ioannis N. Psaromiligkos
2016 B conf
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs.
COLING
Jad Kabbara, Yulan Feng, Jackie Chi Kit Cheung
2016 J jnl
Kernel subspace pursuit for sparse regression.
Pattern Recognit. Lett.
Jad Kabbara, Ioannis N. Psaromiligkos
2014 Misc conf
Improving the tracking ability of KRLS using Kernel Subspace Pursuit.
ICASSP
Jad Kabbara, Ioannis N. Psaromiligkos