---
title: "Sanjeevan Selvaganapathy — author profile and papers"
description: "Sanjeevan Selvaganapathy, The University of Western Australia: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/sanjeevan-selvaganapathy/"
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# Sanjeevan Selvaganapathy

Sanjeevan Selvaganapathy has 2 papers in our library, in 2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Mehwish Nasim](https://md.research.elamur.ai/free/en/authors/mehwish-nasim/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5120303690) · [**h-index 0**](https://openalex.org/authors/A5120303690) · [7 works](https://openalex.org/works?filter=author.id:A5120303690) · [0 citations](https://openalex.org/works?filter=author.id:A5120303690&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sanjeevan-selvaganapathy/#papers) · [⭐ Paper Stars ranking: #13891](https://md.research.elamur.ai/free/en/paper-stars/page/139/#star-13891)

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

## Affiliations

[🎓**The University of Western Australia** Perth · Australia 2025–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-western-australia/)

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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [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 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/sanjeevan-selvaganapathy/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Confident, Calibrated, or Complicit: Safety Alignment and Ideological Bias in LLM Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/selvaganapathy-2026-confident-calibrated-or-complicit-safety/)** *(2026)* The paper asks whether LLMs can be trusted as hate speech classifiers, especially for implicit hate, and how deployed safety guardrails and political framing affect them.
2. **[NASIMLab at SemEval-2026 Task 9: A Comparative Analysis of Fine-Tuned Small Language Models vs. Generative Large Language Models for Multilingual Polarization Type Detection](https://md.research.elamur.ai/free/en/papers/sabhahit-2026-nasimlab-semeval-2026-task-9/)** *(2026)* The paper addresses Subtask 2 of SemEval-2026 Task 9: multi-label detection of polarization types (political, racial/ethnic, religious, gender/sexual, other) in social media posts from the multilingual POLAR dataset.

## Co-authors here

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

- [Mehwish Nasim](https://md.research.elamur.ai/free/en/authors/mehwish-nasim/) ×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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/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/)

Updated 1 November 2026
