---
title: "Usman Naseem — author profile and papers in our library"
description: "Usman Naseem, The University of Western Australia: 16 papers on Elamur Research (2023–2026), h-index 33 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/usman-naseem/"
---
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# Usman Naseem

Usman Naseem has 16 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Surendrabikram Thapa](https://md.research.elamur.ai/free/en/authors/surendrabikram-thapa/), [Gautam Siddharth Kashyap](https://md.research.elamur.ai/free/en/authors/gautam-siddharth-kashyap/), [Hariram Veeramani](https://md.research.elamur.ai/free/en/authors/hariram-veeramani/).

16 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5077006200) · [ORCID](https://orcid.org/0000-0003-0191-7171) · [Wikidata](https://www.wikidata.org/wiki/Q130804956) · [**h-index 33**](https://openalex.org/authors/A5077006200) · [318 works](https://openalex.org/works?filter=author.id:A5077006200) · [3,783 citations](https://openalex.org/works?filter=author.id:A5077006200&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 16 works in our library](https://md.research.elamur.ai/free/en/authors/usman-naseem/#papers) · [🔗 Cited 182 times in our library](https://md.research.elamur.ai/free/en/authors/usman-naseem/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6500](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6500)

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

## Affiliations

[🎓**Macquarie University** Sydney · Australia 2024–2026 · 159 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/macquarie-university/) · [🎓**The University of Western Australia** Perth · Australia 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-western-australia/) · [🎓**The University of Sydney** Sydney · Australia 2020–2025 · 72 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🎓**James Cook University** Townsville · Australia 2023–2024 · 24 papers](https://md.research.elamur.ai/free/en/universities/james-cook-university/) · [🎓**University of Technology Sydney** Sydney · Australia 2019–2020 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-technology-sydney/) · [🎓**RMIT University** Melbourne · Australia 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/rmit-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 14 The field of science this work belongs to (OpenAlex fields).[Computer Science · 16 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 16 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Social Sciences · 7 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 4 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 3 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/health/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

🧭 Topics 11 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 4 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Semitic languages · 4 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Language models & pretraining · 8 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Question answering · 2 works](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Bias, fairness & safety · 3 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Low-resource languages · 3 works](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 11 papers](https://md.research.elamur.ai/free/en/authors/usman-naseem/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/usman-naseem/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/usman-naseem/year/2024/) · [**2023** 3 papers](https://md.research.elamur.ai/free/en/authors/usman-naseem/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization](https://md.research.elamur.ai/free/en/papers/naseem-2026-polar-benchmark-multilingual-multicultural-multi/)** *(2026 · 61 citations)* Computational studies of online polarization mostly cover English or other well-resourced languages, focus on a single event such as a U.S.
2. **[SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization](https://md.research.elamur.ai/free/en/papers/naseem-2026-semeval-2026-task-9-detecting/)** *(2026 · 61 citations)* This shared task targets automatic detection of online polarization, meaning sharp antagonism between social, political or identity groups, in many languages, cultures and events.
3. **[Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings](https://md.research.elamur.ai/free/en/papers/dey-2024-better-ask-english-evaluation-large/)** *(2024 · 16 citations)* The paper asks how well large language models handle widely spoken but under-resourced South Asian languages compared with English.
4. **[Multimodal Hate and Sentiment Understanding in Low-Resource Text-Embedded Images for Online Safety and Digital Well-being](https://md.research.elamur.ai/free/en/papers/thapa-2026-multimodal-hate-sentiment-understanding-low/)** *(2026 · 12 citations)* This overview paper reports on a CHiPSAL 2026 shared task, held at LREC 2026, on moderating memes in Nepali, a widely spoken language with few resources.
5. **[Multimodal Identification of Vaccine Content Stance on Social Media](https://md.research.elamur.ai/free/en/papers/thapa-2026-multimodal-identification-vaccine-content-stance/)** *(2026 · 9 citations)* This paper reports on a shared task, held at the EEUCA 2026 workshop co-located with ACL 2026, on automatically classifying the vaccination stance of social media memes.
6. **[DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic](https://md.research.elamur.ai/free/en/papers/veeramani-2023-dialectnlu-nadi-2023-shared-task/)** *(2023 · 8 citations)* The paper is a system description for the NADI 2023 shared task at ArabicNLP 2023. It covers two closed-track subtasks: identifying which of 18 countries an Arabic tweet comes from, and translating four urban dialects into Modern Standard Arabic (MSA). For dialect identification, the authors combine ARBERT, which is…
7. **[LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic](https://md.research.elamur.ai/free/en/papers/veeramani-2023-lowrescontextqa-qur-qa-2023-shared/)** *(2023 · 8 citations)* This paper describes a system for Task B of the Qur'an QA 2023 shared task. The system receives a passage of consecutive Qur'anic verses and a question in Modern Standard Arabic. It must return up to ten ranked answer spans copied directly from the passage, or nothing when the passage contains no answer. The data is…
8. **[KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment](https://md.research.elamur.ai/free/en/papers/veeramani-2023-knowtellconvince-araieval-shared-task-disinformation/)** *(2023 · 7 citations)* The authors describe their entry to the ArAIEval 2023 shared task, which targets two problems in Arabic text where far fewer tools exist than for English.
9. **[Framing Political Bias in Multilingual LLMs Across Pakistani Languages](https://md.research.elamur.ai/free/en/papers/nadeem-2026-framing-political-bias-multilingual-llms/)** *(2026 · 4 citations)* Most audits of political leaning in LLMs use English or other well-resourced Western languages. This study looks at Pakistan instead, where language is closely bound up with ethnic, religious and regional politics. The authors built a culturally adapted version of the Political Compass Test (PCT). Its 62 statements…
10. **[Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects](https://md.research.elamur.ai/free/en/papers/alharbi-2025-evaluating-large-language-models-health/)** *(2025 · 4 citations)* The paper asks whether GPT-4 handles health claims reliably when users write in different Arabic dialects.
11. **[Do Large Language Models Reflect Demographic Pluralism in Safety?](https://md.research.elamur.ai/free/en/papers/naseem-2026-do-large-language-models-reflect/)** *(2026 · 3 citations)* Safety judgments about LLM outputs differ across communities, yet widely used alignment resources such as ANTHROPIC-HH and DICES draw on narrow annotator pools.
12. **[Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?](https://md.research.elamur.ai/free/en/papers/ray-2026-do-clinical-question-answering-systems/)** *(2026 · 1 citation)* The paper questions a common assumption in industrial clinical question answering (CQA): that a model must be fine-tuned on medical data to perform well.
13. **[MaiBERT: A Pre-training Corpus and Language Model for Low-Resourced Maithili Language](https://md.research.elamur.ai/free/en/papers/yadav-2026-maibert-pre-training-corpus-language/)** *(2026 · 1 citation)* Maithili, an Indo-Aryan language spoken by millions in Nepal's Terai and in Bihar, has almost no pretrained models or standard datasets.
14. **[SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering](https://md.research.elamur.ai/free/en/papers/maskey-2026-safeconstellations-mitigating-over-refusals-llms/)** *(2026 · 1 citation)* Safety-aligned LLMs often refuse harmless requests when the input text merely contains sensitive material.
15. **[Activation Decomposition and Steering for LLM Backdoor Remediation](https://md.research.elamur.ai/free/en/papers/zhong-2026-activation-decomposition-steering-llm-backdoor/)** *(2026)* LLMs fine-tuned on poisoned data can carry hidden backdoors that produce harmful output when a trigger appears.
16. **[Are Large Language Models Economically Viable for Industry Deployment?](https://md.research.elamur.ai/free/en/papers/mohammad-2026-are-large-language-models-economically/)** *(2026)* Industry teams choosing an LLM must weigh energy, latency, hardware use and cost, but common benchmarks report mostly accuracy.

## All works

17 works of theirs in our library, the most cited first; 16 with a page here, the others link their original until we summarise them.

1. **[POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization](https://md.research.elamur.ai/free/en/papers/naseem-2026-polar-benchmark-multilingual-multicultural-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Usman Naseem, Robert Geislinger, Juan Ren, et al.*2026 · 61 citations*
2. **[SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization](https://md.research.elamur.ai/free/en/papers/naseem-2026-semeval-2026-task-9-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Usman Naseem, Robert Geislinger, Ada Ren, et al.*2026 · 61 citations*
3. [**Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings arXiv:2410.13153**Krishno Dey, Prerona Tarannum, Md. Arid Hasan, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/dey-2024-better-ask-english-evaluation-large/)
4. **[Multimodal Hate and Sentiment Understanding in Low-Resource Text-Embedded Images for Online Safety and Digital Well-being](https://md.research.elamur.ai/free/en/papers/thapa-2026-multimodal-hate-sentiment-understanding-low/) [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/)**Surendrabikram Thapa, Shuvam Shiwakoti, Siddhant Bikram Shah, et al.*2026 · 12 citations*
5. **[Automated Citation Function Classification and Context Extraction in Astrophysics: Leveraging Paraphrasing and Question Answering ↗](https://aclanthology.org/2023.wiesp-1.16/) Proceedings of the Second Workshop on Information Extraction from Scientific Publications · no summary yet**Hariram Veeramani, Surendrabikram Thapa, Usman Naseem*2023 · 10 citations*
6. **[Multimodal Identification of Vaccine Content Stance on Social Media](https://md.research.elamur.ai/free/en/papers/thapa-2026-multimodal-identification-vaccine-content-stance/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Surendrabikram Thapa, Shuvam Shiwakoti, Siddhant Bikram Shah, et al.*2026 · 9 citations*
7. **[DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic](https://md.research.elamur.ai/free/en/papers/veeramani-2023-dialectnlu-nadi-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hariram Veeramani, Surendrabikram Thapa, Usman Naseem*2023 · 8 citations*
8. **[LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic](https://md.research.elamur.ai/free/en/papers/veeramani-2023-lowrescontextqa-qur-qa-2023-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hariram Veeramani, Surendrabikram Thapa, Usman Naseem*2023 · 8 citations*
9. **[KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment](https://md.research.elamur.ai/free/en/papers/veeramani-2023-knowtellconvince-araieval-shared-task-disinformation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hariram Veeramani, Surendrabikram Thapa, Usman Naseem*2023 · 7 citations*
10. **[Framing Political Bias in Multilingual LLMs Across Pakistani Languages](https://md.research.elamur.ai/free/en/papers/nadeem-2026-framing-political-bias-multilingual-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Afrozah Nadeem, Mark Dras, Usman Naseem*2026 · 4 citations*
11. **[Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects](https://md.research.elamur.ai/free/en/papers/alharbi-2025-evaluating-large-language-models-health/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Abdulsalam obaid Alharbi, Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, et al.*2025 · 4 citations*
12. **[Do Large Language Models Reflect Demographic Pluralism in Safety?](https://md.research.elamur.ai/free/en/papers/naseem-2026-do-large-language-models-reflect/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Usman Naseem, Gautam Siddharth Kashyap, Sushant Kumar Ray, et al.*2026 · 3 citations*
13. **[Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?](https://md.research.elamur.ai/free/en/papers/ray-2026-do-clinical-question-answering-systems/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi, et al.*2026 · 1 citation*
14. **[MaiBERT: A Pre-training Corpus and Language Model for Low-Resourced Maithili Language](https://md.research.elamur.ai/free/en/papers/yadav-2026-maibert-pre-training-corpus-language/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Sumit Yadav, Raju Kumar Yadav, Utsav Maskey, et al.*2026 · 1 citation*
15. **[SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering](https://md.research.elamur.ai/free/en/papers/maskey-2026-safeconstellations-mitigating-over-refusals-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Utsav Maskey, Sumit Yadav, Mark Dras, et al.*2026 · 1 citation*
16. **[Activation Decomposition and Steering for LLM Backdoor Remediation](https://md.research.elamur.ai/free/en/papers/zhong-2026-activation-decomposition-steering-llm-backdoor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingfeng Zhong, Qiongkai Xu, Usman Naseem*2026*
17. **[Are Large Language Models Economically Viable for Industry Deployment?](https://md.research.elamur.ai/free/en/papers/mohammad-2026-are-large-language-models-economically/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora, et al.*2026*

## Co-authors here

12 of 35 co-authors with a page, the most papers together first.

- [Surendrabikram Thapa](https://md.research.elamur.ai/free/en/authors/surendrabikram-thapa/) ×5
- [Gautam Siddharth Kashyap](https://md.research.elamur.ai/free/en/authors/gautam-siddharth-kashyap/) ×4
- [Hariram Veeramani](https://md.research.elamur.ai/free/en/authors/hariram-veeramani/) ×3
- [Rafiq Ali](https://md.research.elamur.ai/free/en/authors/rafiq-ali/) ×3
- [Sushant Kumar Ray](https://md.research.elamur.ai/free/en/authors/sushant-kumar-ray/) ×3
- [Abdullah Mohammad](https://md.research.elamur.ai/free/en/authors/abdullah-mohammad/) ×2
- [Aisha Jabr](https://md.research.elamur.ai/free/en/authors/aisha-jabr/) ×2
- [Cengiz Acarturk](https://md.research.elamur.ai/free/en/authors/cengiz-acarturk/) ×2
- [Ebad Shabbir](https://md.research.elamur.ai/free/en/authors/ebad-shabbir/) ×2
- [Idris Abdulmumin](https://md.research.elamur.ai/free/en/authors/idris-abdulmumin/) ×2
- [Imran Razzak](https://md.research.elamur.ai/free/en/authors/imran-razzak/) ×2
- [Jiechao Gao](https://md.research.elamur.ai/free/en/authors/jiechao-gao/) ×2

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×4
- [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/) ×3: [ArabicNLP 2023](https://md.research.elamur.ai/free/en/venues/arabicnlp/2023/) ×3
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/): [Workshop on NLP for Languages Using Arabic Script 2025](https://md.research.elamur.ai/free/en/venues/abjadnlp/2025/)
- [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/): [workshop on Challenges in Processing South Asian Languages 2026](https://md.research.elamur.ai/free/en/venues/chipsal/2026/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/): [Workshop on Event Extraction and Understanding: Challenges and Applications 2026](https://md.research.elamur.ai/free/en/venues/eeuca/2026/)
- [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/): [Workshop on Language Models for Low-Resource Languages 2026](https://md.research.elamur.ai/free/en/venues/loreslm/2026/)
- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/)
- Proceedings of the Second Workshop on Information Extraction from Scientific Publications

## Cited by

Papers of our library cite their works 182 times (of the 149,439 papers whose bibliographies we read); [61 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/usman-naseem/cited-by/).

Updated 2 November 2026