Mona Diab
Mona Diab studies language technology, including ways to evaluate generated text and its relation to cultural knowledge. Diab, Esin Durmus, and He He co-authored FEQA. The work evaluates whether abstractive summaries preserve information from source documents, using questions generated from a summary and answers extracted from the document. Diab co-authored Investigating Cultural Alignment of Large Language Models with Badr AlKhamissi, Muhammad ElNokrashy, and Mai Alkhamissi. The study compares model responses with sociological survey responses from Egypt and the United States.
- Works
- 320
- Citations
- 10,818
- h-index
- 48
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2020
Faithfulness in summarization
Diab, Esin Durmus, and He He co-authored FEQA. The work evaluates whether abstractive summaries preserve information from source documents, using questions generated from a summary and answers extracted from the document.
-
2023
Research recognition
ACL elected Mona Diab as a Fellow in 2023.
-
2024
Cultural alignment of language models
Diab co-authored Investigating Cultural Alignment of Large Language Models with Badr AlKhamissi, Muhammad ElNokrashy, and Mai Alkhamissi. The study compares model responses with sociological survey responses from Egypt and the United States.
-
As of October 2026
Language, data, and prompting
The shared cultural alignment study examines pretraining language mixtures and culture-aware prompting.
Sources and credits
Photo: www2.seas.gwu.edu; Mona T. Diab; creator not stated. License: Not stated by source. Source: www2.seas.gwu.edu. Cropped to a square and resized. Ask us to remove or replace this photo.