Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models | ScienceToStartup | ScienceToStartup

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References (30)

[1]

Theory of Mind in Large Language Models: Assessment and Enhancement

2025Ruirui Chen, Weifeng Jiang et al.

[2]

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

2025DeepSeek-AI, Daya Guo et al.

[3]

ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind

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"Develop an AI tool to evaluate and enhance Theory of Mind capabilities in language models using Chain-of-Thought prompting."

Cognitive Science and Language Models•Score: 5•View PDF ↗

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Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models

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References (30)

Founder's Pitch

"Develop an AI tool to evaluate and enhance Theory of Mind capabilities in language models using Chain-of-Thought prompting."

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Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models

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References (30)

Founder's Pitch

"Develop an AI tool to evaluate and enhance Theory of Mind capabilities in language models using Chain-of-Thought prompting."

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