View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (27)

[1]
Evaluating the World Model Implicit in a Generative Model
2024Keyon Vafa, Justin Y. Chen et al.
[2]
Testing theory of mind in large language models and humans
2024James W. A. Strachan, Dalila Albergo et al.
[3]
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
2023Max J. van Duijn, Bram van Dijk et al.
[4]
Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
2023Ziqiao Ma, Jacob Sansom et al.
[5]
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
2023Hyunwoo Kim, Melanie Sclar et al.
[6]
How FaR Are Large Language Models From Agents with Theory-of-Mind?
2023Pei Zhou, Aman Madaan et al.
[7]
Understanding Social Reasoning in Language Models with Language Models
2023Kanishk Gandhi, Jan-Philipp Franken et al.
[8]
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models
2023Natalie Shapira, Mosh Levy et al.
[9]
Boosting Theory-of-Mind Performance in Large Language Models via Prompting
2023Shima Rahimi Moghaddam, C. Honey
[10]
Sparks of Artificial General Intelligence: Early experiments with GPT-4
2023Sébastien Bubeck, Varun Chandrasekaran et al.
[11]
Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks
2023T. Ullman
[12]
Evaluating large language models in theory of mind tasks
2023Michal Kosinski
[13]
Emergent analogical reasoning in large language models
2022Taylor W. Webb, K. Holyoak et al.
[14]
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs
2022Maarten Sap, Ronan Le Bras et al.
[15]
Do Large Language Models know what humans know?
2022Sean Trott, Cameron J. Jones et al.
[16]
Rational quantitative attribution of beliefs, desires and percepts in human mentalizing
2017Chris L. Baker, J. Jara-Ettinger et al.
[17]
The Naïve Utility Calculus: Computational Principles Underlying Commonsense Psychology
2016J. Jara-Ettinger, H. Gweon et al.
[18]
What Cognitive Representations Support Primate Theory of Mind?
2016Alia Martin, Laurie R Santos
[19]
Primate Social Cognition: Thirty Years After Premack and Woodruff
2010A. Rosati, Laurie R Santos et al.
[20]
Theory of mind development in Chinese children: a meta-analysis of false-belief understanding across cultures and languages.
2008David Liu, H. Wellman et al.

Showing 20 of 27 references

Founder's Pitch

"Develop a framework to evaluate whether LLMs possess a coherent Theory of Mind model for social task applications."

AI ResearchScore: 4View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

1/4 signals

2.5

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/12/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.