---
title: "Daulet Toibazar — author profile and papers"
description: "Daulet Toibazar: 2 papers on Elamur Research (2025), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/daulet-toibazar/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daulet-toibazar/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daulet Toibazar

# Daulet Toibazar

Daulet Toibazar has 2 papers in our library, in 2025, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Kesen Wang](https://md.research.elamur.ai/free/en/authors/kesen-wang/), [Pedro J. Moreno](https://md.research.elamur.ai/free/en/authors/pedro-j-moreno/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5114311598) · [ORCID](https://orcid.org/0009-0008-1492-995X) · [**h-index 1**](https://openalex.org/authors/A5114311598) · [7 works](https://openalex.org/works?filter=author.id:A5114311598) · [3 citations](https://openalex.org/works?filter=author.id:A5114311598&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daulet-toibazar/#papers) · 🔗 1 citation in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #5127](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5127)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Daulet+Toibazar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daulet+Toibazar) · [dblp](https://dblp.org/search?q=Daulet+Toibazar) · [ACL Anthology](https://aclanthology.org/search/?q=Daulet+Toibazar)

## Affiliations

[🎓**King Abdullah University of Science and Technology** Jeddah · Saudi Arabia 2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/king-abdullah-university-of-science-and-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Topics

[Question answering (2)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/daulet-toibazar/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Multi-Agent Interactive Question Generation Framework for Long Document Understanding](https://md.research.elamur.ai/free/en/papers/wang-2025-multi-agent-interactive-question-generation/)** *(2025 · 1 citation)* Long multi-page documents with complex layouts remain hard for Large Vision-Language Models (LVLMs). The authors attribute much of this to a lack of fine-grained multi-page QA training data, especially for Arabic, and note that existing long-document benchmarks depend on expensive human annotation. They propose a…
2. **[A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation](https://md.research.elamur.ai/free/en/papers/wang-2025-sea3l-qa-fully-automated-self/)** *(2025)* Large vision-language models handle single-page documents well, but they struggle when an answer depends on content spread across many pages.

## 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

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

- [Kesen Wang](https://md.research.elamur.ai/free/en/authors/kesen-wang/) ×2
- [Pedro J. Moreno](https://md.research.elamur.ai/free/en/authors/pedro-j-moreno/) ×2

## Cited by

Papers of our library cite their works 1 time (of the 140,884 papers whose bibliographies we read).
