---
title: "Sushant Kumar Ray — author profile and papers in our library"
description: "Sushant Kumar Ray, University of Delhi: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/sushant-kumar-ray/"
---
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# Sushant Kumar Ray

Sushant Kumar Ray has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Gautam Siddharth Kashyap](https://md.research.elamur.ai/free/en/authors/gautam-siddharth-kashyap/), [Rafiq Ali](https://md.research.elamur.ai/free/en/authors/rafiq-ali/), [Usman Naseem](https://md.research.elamur.ai/free/en/authors/usman-naseem/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5123504691) · [**h-index 1**](https://openalex.org/authors/A5123504691) · [18 works](https://openalex.org/works?filter=author.id:A5123504691) · [3 citations](https://openalex.org/works?filter=author.id:A5123504691&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/sushant-kumar-ray/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #10669](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10669)

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

## Affiliations

[🎓**University of Delhi** New Delhi · India 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-delhi/)

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 10 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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 3 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/sushant-kumar-ray/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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.
2. **[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.
3. **[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.

## Co-authors here

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

- [Gautam Siddharth Kashyap](https://md.research.elamur.ai/free/en/authors/gautam-siddharth-kashyap/) ×3
- [Rafiq Ali](https://md.research.elamur.ai/free/en/authors/rafiq-ali/) ×3
- [Usman Naseem](https://md.research.elamur.ai/free/en/authors/usman-naseem/) ×3
- [Abdullah Mohammad](https://md.research.elamur.ai/free/en/authors/abdullah-mohammad/) ×2
- [Ebad Shabbir](https://md.research.elamur.ai/free/en/authors/ebad-shabbir/) ×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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/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/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
