Elamur Research⌕
☰
home / authors / Sneheel Sarangi

Sneheel Sarangi

Sneheel Sarangi has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Hanan Salam.

2 papers in our library · 2025–2026

OpenAlex · h-index 0 · 10 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #9965

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓McGill UniversityMontreal · Canada2026 · 3 paperscurrent🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2026 · 2 paperscurrent🎓New York UniversityNew York · United States2024–2025 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksPsychology · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksDevelopmental and Educational Psychology · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 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 (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 (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.

Venues

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

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sneheel-sarangi/