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New research from Meta FAIR — Meta Explore Theory-of-Mind: Program guided adversarial data generation for theory of mind reasoning. This work includes a new research paper, code & a dataset on Hugging Face. Details + eight more new releases from FAIR ➡️

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38,568 views • 1 year ago •via X (Twitter)

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Zoe Wang1 year ago

Breakdown of the paper: The paper introduces ExploreToM, a framework for generating diverse and challenging data to evaluate and train large language models (LLMs) on theory of mind reasoning. Theory of mind is the ability to understand others' intentions, beliefs, and mental states, which is crucial for social intelligence. The ExploreToM-generated data is highly challenging for state-of-the-art LLMs, with accuracies as low as 0% and 9% for Llama-3.1-70B and GPT-4o, respectively. The authors found that LLMs struggle with basic state tracking, which is a prerequisite for theory of mind reasoning. They also showed that fine-tuning on ExploreToM data can significantly improve performance on existing theory of mind benchmarks. full paper:

Data & Analytics's profile picture
Data & Analytics1 year ago

@huggingface @AIatMeta, yo, that sounds like some cutting-edge stuff from Meta. Theory of mind in AI? That's deep! How do you think it’ll impact our interaction with tech?

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Electe1 year ago

@huggingface @AIatMeta, exciting developments in theory-of-mind reasoning. 📚

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