Jad Kabbara

Postdoctoral Researcher | Massachusetts Institute of Technology

Publications


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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 Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker  
Under submission
[PAPER]     [WEBSITE]    

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ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
William Brannon, Wonjune Kang, Suyash Fulay, Hang Jiang, Brandon Roy, Deb Roy and Jad Kabbara  
TextGraphs-17 @ACL 2024, Bangkok, Thailand, August 2024
[PAPER]    

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Fora: A corpus and framework for the study of facilitated dialogue
Hope Schroeder, Deb Roy and Jad Kabbara  
ACL 2024, Bangkok, Thailand, August 2024
[PAPER]    

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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, Sandy Pentland, Yoon Kim, Deb Roy and Jad Kabbara  
ACL 2024, Bangkok, Thailand, August 2024
[PAPER]    

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Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara and Ali Emami  
ACL 2024, Bangkok, Thailand, August 2024
[PAPER]    

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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 Gero, Sandy Pentland and Jad Kabbara  
ICML 2024, Vienna, Austria, July 2024
[PAPER]    
Spotlight Paper [3.5% acceptance rate]

bert

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy and Jad Kabbara  
Findings of NAACL 2024, Mexico City, Mexico, June 2024
[PAPER]    
Preliminary version appeared as extended abstract at IC2S2 2023, Copenhagen, Denmark, July 2023.

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Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
Jad Kabbara and Jackie C.K. Cheung  
Findings of EMNLP 2023, Singapore, Singapore, December 2023
[PAPER]    

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Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Robert Morabito, Jad Kabbara and Ali Emami  
Findings of ACL 2023, Toronto, Canada, July 2023
[PAPER]    

bert

Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences
Jad Kabbara and Jackie C.K. Cheung  
COLING 2022, Gyeongju, Republic of Korea, October 2022
[PAPER]    
Best Short Paper Award

def_summ

Post-Editing Extractive Summaries by Definiteness Prediction
Jad Kabbara and Jackie C.K. Cheung  
Findings of EMNLP 2021, Punta Cana, Dominican Republic, November 2021
[PAPER]    

pragmatic_srw

Computational Investigations of Pragmatic Effects in Natural Language
Jad Kabbara  
NAACL Student Reseserch Workshop 2019, Minneapolis, Minnesota, USA, June 2019

adverbial_presup

Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers
Andre Cianflone*, Yulan Feng*, Jad Kabbara* and Jackie C.K. Cheung (* denotes equal contribution) 
ACL 2018, Melbourne, Australia, July 2018
[PAPER]     [DATA]    
Best Paper Award

relevance

Relevance Effect: Exploiting Bayesian Networks to Improve Supervised Learning
Ardavan S. Nobandegani*, Jad Kabbara* and Ioannis N. Psaromiligkos (* denotes equal contribution)  
IJCNN 2017, Anchorage, Alaska, USA, May 2017
[PAPER]    

definiteness

Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
Jad Kabbara, Yulan Feng and Jackie C.K. Cheung  
COLING 2016, Osaka, Japan, December 2016
[PAPER]    

stylistic_transfer

Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks
Jad Kabbara and Jackie C.K. Cheung  
Workshop on Uphill Battles in Language Processing 2016 (@ EMNLP 2016), Austin, Texas, USA, November 2016
[PAPER]    

subspace

Kernel Subspace Pursuit for Sparse Regression
Jad Kabbara and Ioannis N. Psaromiligkos  
Pattern Recognition Letters, January 2016
[PAPER]    

krls

Improving the tracking ability of KRLS using kernel subspace pursuit
Jad Kabbara and Ioannis N. Psaromiligkos  
IEEE ICASSP 2014, Florence, Italy, May 2014
[PAPER]    

© Massachusetts Institute of Technology 2024