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Saleh Almohaimeed

Saleh Almohaimeed has 3 papers in our library, in 2024–2025, most of them on Semitic languages, Code & programming languages, Semantic parsing & meaning representation; often with Saad Almohaimeed, Liqiang Wang, Mansour Al Ghanim.

3 papers in our library · 2024–2025

current affiliationKing Saud University, Riyadh, Saudi Arabia; Institute of Public Administration, Zagreb; Institute of Public Administration, Riyadh; Institute of Public Administration, Dublin

OpenAlex · ORCID · h-index 3 · 20 works · 35 citations OpenAlex, 2026-10-14

3 works in our library · 15 citations in our library · 1 more work in our library · ⭐ Paper Star rank #4693

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

Topics

Semitic languages3Code & programming languages2Semantic parsing & meaning representation2

Works by year

2020s

Papers

The most cited first (OpenAlex and our library).

  1. Ar-Spider: Text-to-SQL in Arabic (2024 · 13 citations)
    Most text-to-SQL benchmarks are English-only. This paper builds Ar-Spider, the first cross-domain Arabic text-to-SQL dataset. It was made by translating the public training and development parts of Spider: GPT-3 produced draft Arabic questions, two professional translators corrected them, and three SQL-literate…
  2. AI Text Detectors and the Misclassification of Slightly Polished Arabic Text (2025 · 2 citations)
    The paper examines whether AI-text detectors wrongly flag Arabic human writing as machine-generated after an LLM lightly edits it.
  3. Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic (2025 · 2 citations)
    Conversational text-to-SQL turns a series of linked user questions into database queries. Research on it has almost entirely used English, with some Chinese, and Arabic had no resource for this setting. The authors build Ar-SParC, an Arabic version of the English SParC benchmark. GPT-4.5-turbo produced draft…

Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

Co-authors here

3 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 15 times (of the 140 884 papers whose bibliographies we read); 2 citing papers with a page here →.

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