Mohamed Elaraby

According to our database, Mohamed Elaraby authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs.

Mohamed Elaraby, Diane J. Litman

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification.

Mohamed Elaraby, Jyoti Prakash Maheswari

CoRR, November, 2025

Lessons Learned in Assessing Student Reflections with LLMs.

Mohamed Elaraby, Diane J. Litman

Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

2024

Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking.

Mohamed Elaraby, Diane J. Litman, Xiang Li, Ahmed Magooda

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

ReflectSumm: A Benchmark for Course Reflection Summarization.

Mohamed Elaraby, Yang Zhong, Diane J. Litman, Ahmed Ashraf Butt, Muhsin Menekse

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models.

Mohamed Elaraby, Mengyin Lu, Jacob Dunn, Xueying Zhang, Yu Wang, Shizhu Liu

CoRR, 2023

Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining.

Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman

Proceedings of the 10th Workshop on Argument Mining, 2023

Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking.

Mohamed Elaraby, Yang Zhong, Diane J. Litman

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

2022

ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining.

Mohamed Elaraby, Diane J. Litman

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

2021

Exploring Multitask Learning for Low-Resource AbstractiveSummarization.

Ahmed Magooda, Mohamed Elaraby, Diane J. Litman

CoRR, 2021

Exploring Multitask Learning for Low-Resource Abstractive Summarization.

Ahmed Magooda, Diane J. Litman, Mohamed Elaraby

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

Self-trained Pretrained Language Models for Evidence Detection.

Mohamed Elaraby, Diane J. Litman

Proceedings of the 8th Workshop on Argument Mining, 2021

2019

A Character Level Convolutional BiLSTM for Arabic Dialect Identification.

Mohamed Elaraby, Ahmed H. Zahran

Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019

2018

UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models.

Hassan Alhuzali, Mohamed Elaraby, Muhammad Abdul-Mageed

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

Deep Models for Arabic Dialect Identification on Benchmarked Data.

Mohamed Elaraby, Muhammad Abdul-Mageed

Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, 2018

You Tweet What You Speak: A City-Level Dataset of Arabic Dialects.

Muhammad Abdul-Mageed, Hassan Alhuzali, Mohamed Elaraby

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018