Jad Kabbara

ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
William Brannon, Suyash Fulay, Hang Jiang, Wonjune Kang, Brandon Roy, Jad Kabbara and Deb Roy  
Under submission
[PAPER]    

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 ‘Sandy’ Pentland, Yoon Kim, Jad Kabbara and Deb Roy  
Under submission
[PAPER]    

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]    

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.

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]    

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]    

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

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]    

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

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 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]    

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 in Natural Language Generation Systems Using Recurrent Neural Networks
Jad Kabbara and Jackie C.K. Cheung  
UBLP 2016 (@ EMNLP 2016), Austin, Texas, USA, November 2016
[PAPER]    

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

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