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Mohamed S. Elaraby — NLP Research (Job Market)
About
Welcome! I am a fifth-year PhD student in the Computer Science Department at the University of Pittsburgh, advised by Diane Litman. My research centers on Computational Argumentation and Text Summarization, with applications in legal and educational domains.
Sep 2024: EMNLP 2024 (Findings) acceptance — see you in Miami 🌴
May 2024: Started internship at Microsoft ROAR; Apr 2024: Passed Oral Comprehensive Exam.
Oct 2023: ImageArg overview paper out; co-organized ArgMining 2023 shared task.
Research Agenda
I develop argument-aware generation and evaluation methods for long documents. My my work aims to build faithful, interpretable, and reliable NLP systems for high-stakes domains.
Selected Publications
Lessons Learned in Assessing Student Reflections with LLMs
@inproceedings{elaraby-litman-2025-lessons,
author = {Elaraby, Mohamed and Litman, Diane},
title = {Lessons Learned in Assessing Student Reflections with LLMs},
booktitle = {Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)},
year = {2025}
}
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking
Mohamed Elaraby, Diane Litman, Xiang Lorraine Li, Ahmed Magooda · Findings of EMNLP, 2024
@inproceedings{elaraby-etal-2024-persuasiveness,
author = {Elaraby, Mohamed and Litman, Diane and Li, Xiang Lorraine and Magooda, Ahmed},
title = {Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024},
year = {2024}
}
Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions
Mohamed Elaraby, Huihui Xu, Morgan Gray, Kevin Ashley, Diane Litman · HumEval @ LREC-COLING, 2024
@inproceedings{elaraby-etal-2024-adding,
title = {Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions},
author = {Elaraby, Mohamed and Xu, Huihui and Gray, Morgan and Ashley, Kevin and Litman, Diane},
booktitle = {Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024},
year = {2024}
}
ReflectSumm: A Benchmark for Course Reflection Summarization
Yang Zhong*, Mohamed Elaraby*, Diane Litman, Ahmed Ashraf Butt, Muhsin Menekse · LREC-COLING, 2024 · *equal contribution
@inproceedings{elaraby-etal-2024-reflectsumm,
title = {ReflectSumm: A Benchmark for Course Reflection Summarization},
author = {Zhong, Yang and Elaraby, Mohamed and Litman, Diane and Butt, Ahmed Ashraf and Menekse, Muhsin},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
year = {2024}
}
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
@inproceedings{liu-etal-2023-overview,
title = {Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining},
author = {Liu, Zhexiong and Elaraby, Mohamed and Zhong, Yang and Litman, Diane},
booktitle = {Proceedings of the 10th Workshop on Argument Mining},
year = {2023}
}
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
Mohamed Elaraby, Yang Zhong, Diane Litman · Findings of ACL, 2023
@inproceedings{elaraby-etal-2023-towards,
title = {Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking},
author = {Elaraby, Mohamed and Zhong, Yang and Litman, Diane},
booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
year = {2023}
}
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining
@inproceedings{elaraby-litman-2022-arglegalsumm,
title = {ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining},
author = {Elaraby, Mohamed and Litman, Diane},
booktitle = {Proceedings of the 29th International Conference on Computational Linguistics},
year = {2022}
}
Talks
Invite me for a talk on argument-aware summarization, long-context evaluation, or faithful generation. Get in touch.