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Simon Stepputtis

Simon Stepputtis has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Joseph Campbell, Matthew Lyle Olson.

2 papers in our library · 2023–2026

OpenAlex · h-index 12 · 76 works · 560 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 59 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6339

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

🎓Virginia TechBlacksburg · United States2025–2026 · 11 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2022–2025 · 29 papers🎓Arizona State UniversityTempe · United States2017–2023 · 10 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksDevelopmental and Educational Psychology · 1 workPsychology · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Theory of Mind for Multi-Agent Collaboration via Large Language Models (2023 · 138 citations)
    The paper asks whether agents driven by large language models can cooperate as a team and reason about teammates' hidden knowledge and intentions (Theory of Mind, ToM).
  2. Bayesian Social Deduction with Graph-Informed Language Models (2026)
    The paper examines whether large language models can perform social reasoning, meaning inferring hidden roles and intentions from partial observations, in the hidden-role game Avalon.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Theory of Mind for Multi-Agent Collaboration via Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Huao Li, Yu Chong, Simon Stepputtis, et al.2023 · 138 citations
  2. Bayesian Social Deduction with Graph-Informed Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shahab Rahimirad, Guven Gergerli, Lucia Romero, et al.2026
  3. SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding ↗arXiv (Cornell University) · no summary yetRenos Zabounidis et al.2026

 Co-authors here

2 co-authors 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 59 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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