---
title: "Sina Bagheri Nezhad — author profile and papers in our library"
description: "Sina Bagheri Nezhad: 2 papers on Elamur Research (2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sina-bagheri-nezhad/"
---
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# Sina Bagheri Nezhad

Sina Bagheri Nezhad has 2 papers in our library, in 2024, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [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 [Ameeta Agrawal](https://md.research.elamur.ai/free/en/authors/ameeta-agrawal/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5044980518) · [ORCID](https://orcid.org/0000-0002-7863-8739) · [**h-index 3**](https://openalex.org/authors/A5044980518) · [15 works](https://openalex.org/works?filter=author.id:A5044980518) · [16 citations](https://openalex.org/works?filter=author.id:A5044980518&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sina-bagheri-nezhad/#papers) · [🔗 Cited 23 times in our library](https://md.research.elamur.ai/free/en/authors/sina-bagheri-nezhad/cited-by/) · [⭐ Paper Stars ranking: #9562](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9562)

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

## Affiliations

[🎓**Portland State University** Portland · United States 2023–2025 · 9 papers](https://md.research.elamur.ai/free/en/universities/portland-state-university/) · [🎓**Iran University of Science and Technology** Tehran · Iran 2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/iran-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.

## Fields, topics and concepts

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

📚 Shelves 5 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 5 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/sina-bagheri-nezhad/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[What Drives Performance in Multilingual Language Models?](https://md.research.elamur.ai/free/en/papers/nezhad-2024-drives-performance-multilingual-language-models/)** *(2024 · 20 citations)* The authors ask why multilingual large language models (MLLMs) succeed in some languages and fail in others, with special attention to languages a model never saw during pretraining.
2. **[Evaluating Multilingual Long-Context Models for Retrieval and Reasoning](https://md.research.elamur.ai/free/en/papers/agrawal-2024-evaluating-multilingual-long-context-models/)** *(2024 · 13 citations)* Long-context LLMs score almost perfectly on synthetic "needle in a haystack" tests, but these tests mostly use English and hide only one target fact.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Ameeta Agrawal](https://md.research.elamur.ai/free/en/authors/ameeta-agrawal/) ×2

## Venues

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

- [Workshop on Multilingual Representation Learning](https://md.research.elamur.ai/free/en/venues/mrl/): [Workshop on Multilingual Representation Learning 2024](https://md.research.elamur.ai/free/en/venues/mrl/2024/)
- [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/): [VarDial 2024](https://md.research.elamur.ai/free/en/venues/vardial/2024/)

## Cited by

Papers of our library cite their works 23 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sina-bagheri-nezhad/cited-by/).

Updated 30 October 2026
