🧑‍🔬 Muhammad Khalifa

🏛️ Affiliations

🎓University of MichiganAnn Arbor · United States2021–2026 · 7 paperscurrent🏢NvidiaSanta Clara · United States2026 · 1 papercurrent🎓Cairo UniversityGiza · Egypt2020–2021 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling (2021 · 25 citations)
   Labeled data for Arabic NLP is mostly in Modern Standard Arabic (MSA), while everyday online writing is in dialects.
2. Source-Aware Training Enables Knowledge Attribution in Language Models (2024 · 21 citations)
   LLMs absorb large amounts of factual knowledge during pretraining but cannot say which documents it came from.
3. On Many-Shot In-Context Learning for Long-Context Evaluation (2025 · 8 citations)
   Most long-context benchmarks test whether a model can find a specific piece of information, so they say little about global understanding of a long input.
4. Logit Arithmetic Elicits Long Reasoning Capabilities Without Training (2026 · 2 citations)
   Large reasoning models acquire long chain-of-thought behaviours, such as backtracking and self-checking, through costly post-training.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence LabelingConference of the European Chapter of the Association for Computational Linguistics (EACL)Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan2021 · 25 citations
2. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
3. On Many-Shot In-Context Learning for Long-Context EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaijian Zou, Muhammad Khalifa, Lu Wang2025 · 8 citations
4. Zero-Resource Multi-Dialectal Arabic Natural Language Understanding ↗arXiv:2104.06591 · no summary yetMuhammad Khalifa, Hesham Hassan, Aly Fahmy2021 · 8 citations
5. Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingFindings of the Association for Computational LinguisticsYunxiang Zhang, Muhammad Khalifa, Lechen Zhang, et al.2026 · 2 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Lu Wang ×3
• David Wadden
• Emma Strubell
• Farima Fatahi Bayat
• Hao Peng
• Honglak Lee
• Iz Beltagy
• Khaled Shaalan
• Lechen Zhang
• Muhammad Abdul-Mageed
• Xin Liu
• Xinliang Frederick Zhang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2021
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 31 October 2026

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