---
title: "Sneheel Sarangi — author profile and papers in our library"
description: "Sneheel Sarangi, Mila - Quebec Artificial Intelligence Institute: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/sneheel-sarangi/"
---
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# Sneheel Sarangi

Sneheel Sarangi has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Hanan Salam](https://md.research.elamur.ai/free/en/authors/hanan-salam/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5087693449) · [**h-index 0**](https://openalex.org/authors/A5087693449) · [10 works](https://openalex.org/works?filter=author.id:A5087693449) · [0 citations](https://openalex.org/works?filter=author.id:A5087693449&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sneheel-sarangi/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/sneheel-sarangi/cited-by/) · [⭐ Paper Stars ranking: #11203](https://md.research.elamur.ai/free/en/paper-stars/page/113/#star-11203)

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

## Affiliations

[🎓**McGill University** Montreal · Canada 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/mcgill-university/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**New York University** New York · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/)

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/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Developmental and Educational Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sneheel-sarangi/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/sneheel-sarangi/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition](https://md.research.elamur.ai/free/en/papers/sarangi-2025-decompose-tom-enhancing-theory-mind/)** *(2025 · 10 citations)* Large language models still struggle with Theory of Mind (ToM) reasoning, especially higher-order questions (beliefs about other agents' beliefs) and dialogue scenarios where participants join and leave.
2. **[Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief Task](https://md.research.elamur.ai/free/en/papers/sarangi-2026-can-small-llms-learn-robust/)** *(2026)* The paper asks whether reinforcement learning with verifiable rewards (RLVR), which has improved mathematical and logical reasoning, can give small LLMs a general Theory of Mind (ToM) rather than benchmark-specific skill.

## Co-authors here

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

- [Hanan Salam](https://md.research.elamur.ai/free/en/authors/hanan-salam/) ×2

## Venues

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

- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [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 9 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sneheel-sarangi/cited-by/).

Updated 1 November 2026
