Majd Hawasly

According to our database, Majd Hawasly authored at least 31 papers between 2013 and 2024.

Collaborative distances:

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

2024

Improving Language Models Trained with Translated Data via Continual Pre-Training and Dictionary Learning Analysis.

Sabri Boughorbel, Md. Rizwan Parvez, Majd Hawasly

CoRR, 2024

Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis.

Sabri Boughorbel, Md. Rizwan Parvez, Majd Hawasly

Proceedings of The Second Arabic Natural Language Processing Conference, 2024

Scaling up Discovery of Latent Concepts in Deep NLP Models.

Majd Hawasly, Fahim Dalvi, Nadir Durrani

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

LAraBench: Benchmarking Arabic AI with Large Language Models.

Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury, Maram Hasanain, Basel Mousi, Sabri Boughorbel, Samir Abdaljalil, Yassine El Kheir, Daniel Izham, Fahim Dalvi, Majd Hawasly, Nizi Nazar, Yousseif Elshahawy, Ahmed Ali, Nadir Durrani, Natasa Milic-Frayling, Firoj Alam

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Exploring Alignment in Shared Cross-lingual Spaces.

Basel Mousi, Nadir Durrani, Fahim Dalvi, Majd Hawasly, Ahmed Abdelali

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

2023

Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior?

Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy, Matteo Leonetti, Jac Billington, Richard Romano, Gustav Markkula

IEEE Trans. Intell. Transp. Syst., 2023

DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving.

Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy

IEEE Robotics Autom. Lett., 2023

Scaled-up Discovery of Latent Concepts in Deep NLP Models.

Majd Hawasly, Fahim Dalvi, Nadir Durrani

CoRR, 2023

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking.

Fahim Dalvi, Maram Hasanain, Sabri Boughorbel, Basel Mousi, Samir Abdaljalil, Nizi Nazar, Ahmed Abdelali, Shammur Absar Chowdhury, Hamdy Mubarak, Ahmed Ali, Majd Hawasly, Nadir Durrani, Firoj Alam

CoRR, 2023

Benchmarking Arabic AI with Large Language Models.

Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury, Maram Hasanain, Basel Mousi, Sabri Boughorbel, Yassine El Kheir, Daniel Izham, Fahim Dalvi, Majd Hawasly, Nizi Nazar, Yousseif Elshahawy, Ahmed Ali, Nadir Durrani, Natasa Milic-Frayling, Firoj Alam

CoRR, 2023

Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic.

Sabri Boughorbel, Majd Hawasly

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

2022

A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving.

Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy

IEEE Trans. Robotics, 2022

DiPA: Diverse and Probabilistically Accurate Interactive Prediction.

Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy

CoRR, 2022

Perspectives on the system-level design of a safe autonomous driving stack.

Majd Hawasly, Jonathan Sadeghi, Morris Antonello, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy

AI Commun., 2022

2021

PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving.

Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

FPR - Fast Path Risk Algorithm to Evaluate Collision Probability.

Andrew Blake, Alejandro Bordallo, Kamen Brestnichki, Majd Hawasly, Svetlin Valentinov Penkov, Subramanian Ramamoorthy, Alexandre Silva

IEEE Robotics Autom. Lett., 2020

A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving.

Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy

CoRR, 2020

PaRoT: A Practical Framework for Robust Deep Neural Network Training.

Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside

Proceedings of the NASA Formal Methods - 12th International Symposium, 2020

2018

Efficient Computation of Collision Probabilities for Safe Motion Planning.

Andrew Blake, Alejandro Bordallo, Majd Hawasly, Svetlin Penkov, Subramanian Ramamoorthy, Alexandre Silva

CoRR, 2018

Learning Hierarchical Models of Complex Daily Activities from Annotated Videos.

Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations.

Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn

CoRR, 2017

Grounding of Human Environments and Activities for Autonomous Robots.

Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-scale Activity Estimation with Spatial Abstractions.

Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands.

Muhannad Al-Omari, Paul Duckworth, Majd Hawasly, David C. Hogg, Anthony G. Cohn

Proceedings of the First Workshop on Language Grounding for Robotics, 2017

2016

Bayesian policy reuse.

Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy

Mach. Learn., 2016

Topological trajectory classification with filtrations of simplicial complexes and persistent homology.

Florian T. Pokorny, Majd Hawasly, Subramanian Ramamoorthy

Int. J. Robotics Res., 2016

Estimating Activity at Multiple Scales using Spatial Abstractions.

Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy

CoRR, 2016

2014

Multiscale Topological Trajectory Classification with Persistent Homology.

Florian T. Pokorny, Majd Hawasly, Subramanian Ramamoorthy

Proceedings of the Robotics: Science and Systems X, 2014

2013

Clustering Markov Decision Processes For Continual Transfer.

M. M. Hassan Mahmud, Majd Hawasly, Benjamin Rosman, Subramanian Ramamoorthy

CoRR, 2013

Lifelong transfer learning with an option hierarchy.

Majd Hawasly, Subramanian Ramamoorthy

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Lifelong Learning of Structure in the Space of Policies.

Majd Hawasly, Subramanian Ramamoorthy

Proceedings of the Lifelong Machine Learning, 2013