Jad Kabbara

According to our database, Jad Kabbara authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A large-scale audit of dataset licensing and attribution in AI.

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 D. Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker

Nat. Mac. Intell., 2024

Consent in Crisis: The Rapid Decline of the AI Data Commons.

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

CoRR, 2024

LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users.

Elinor Poole-Dayan, Deb Roy, Jad Kabbara

CoRR, 2024

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, Sandy Pentland, Jad Kabbara

CoRR, 2024

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits.

Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, Jad Kabbara

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fora: A corpus and framework for the study of facilitated dialogue.

Hope Schroeder, Deb Roy, Jad Kabbara

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling.

Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.

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 D. Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker

CoRR, 2023

ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings.

William Brannon, Suyash Fulay, Hang Jiang, Wonjune Kang, Brandon Roy, Jad Kabbara, Deb Roy

CoRR, 2023

PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences.

Hang Jiang, Xiajie Zhang, Xubo Cao, Jad Kabbara

CoRR, 2023

Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions.

Jad Kabbara, Jackie Chi Kit Cheung

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

Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models.

Robert Morabito, Jad Kabbara, Ali Emami

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

2022

Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences.

Jad Kabbara, Jackie Chi Kit Cheung

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Post-Editing Extractive Summaries by Definiteness Prediction.

Jad Kabbara, Jackie Chi Kit Cheung

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop.

Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2019

Computational Investigations of Pragmatic Effects in Natural Language.

Jad Kabbara

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers.

Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Relevance effect: Exploiting Bayesian networks to improve supervised learning.

Ardavan Salehi Nobandegani, Jad Kabbara, Ioannis N. Psaromiligkos

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Kernel subspace pursuit for sparse regression.

Jad Kabbara, Ioannis N. Psaromiligkos

Pattern Recognit. Lett., 2016

Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs.

Jad Kabbara, Yulan Feng, Jackie Chi Kit Cheung

Proceedings of the COLING 2016, 2016

2014

Improving the tracking ability of KRLS using Kernel Subspace Pursuit.

Jad Kabbara, Ioannis N. Psaromiligkos

Proceedings of the IEEE International Conference on Acoustics, 2014