---
title: "Sheza Munir · University of Toronto — author profile and papers"
description: "Sheza Munir, University of Toronto: 2 papers on Elamur Research (2025), h-index 2 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/sheza-munir/"
---
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# Sheza Munir

Sheza Munir has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Lechen Zhang](https://md.research.elamur.ai/free/en/authors/lechen-zhang/), [Lu Wang](https://md.research.elamur.ai/free/en/authors/lu-wang/), [Farima Fatahi Bayat](https://md.research.elamur.ai/free/en/authors/farima-fatahi-bayat/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5114633693) · [ORCID](https://orcid.org/0009-0008-2175-254X) · [**h-index 2**](https://openalex.org/authors/A5114633693) · [13 works](https://openalex.org/works?filter=author.id:A5114633693) · [12 citations](https://openalex.org/works?filter=author.id:A5114633693&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sheza-munir/#papers) · [🔗 Cited 22 times in our library](https://md.research.elamur.ai/free/en/authors/sheza-munir/cited-by/) · [⭐ Paper Stars ranking: #8644](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8644)

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=Sheza+Munir) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sheza+Munir) · [dblp](https://dblp.org/search?q=Sheza+Munir) · [ACL Anthology](https://aclanthology.org/search/?q=Sheza+Munir)

## Affiliations

[🎓**University of Michigan** Ann Arbor · United States 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**University of Toronto** Toronto · Canada 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-toronto/)

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

## Fields, topics and concepts

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

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation](https://md.research.elamur.ai/free/en/papers/bayat-2025-factbench-dynamic-benchmark-wild-language/)** *(2025 · 16 citations)* Existing long-form factuality benchmarks are fixed snapshots, which exposes them to data contamination. They also cover narrow scenarios, such as biographies or LM-written questions, rather than what real users ask. The authors address this by mining in-the-wild prompts from LMSYS-Chat-1M. They cluster the prompts…
2. **[VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts](https://md.research.elamur.ai/free/en/papers/liu-2025-verifact-enhancing-long-form-factuality/)** *(2025 · 11 citations)* Judging whether long LLM answers are factually correct is hard because individual claims often depend on context spread across several sentences.

## Co-authors here

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

- [Lechen Zhang](https://md.research.elamur.ai/free/en/authors/lechen-zhang/) ×2
- [Lu Wang](https://md.research.elamur.ai/free/en/authors/lu-wang/) ×2
- [Farima Fatahi Bayat](https://md.research.elamur.ai/free/en/authors/farima-fatahi-bayat/)
- [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/)
- [Yiyang Gu](https://md.research.elamur.ai/free/en/authors/yiyang-gu/)

## 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)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 22 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sheza-munir/cited-by/).

Updated 31 October 2026
