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ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

AAAI 2019 · Large language models › Retrieval and knowledge · approach: Knowledge graph reasoning with LLMs · 768 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Share encoders across voluntary and involuntary inference dimensions (ablation)ATOMIC inference generation · unseen test eventsPrecision at 10 (%): 45.32 -> 47.93Helped
Share encoders across dimensions grouped by causes versus effects (ablation)ATOMIC inference generation · unseen test eventsPrecision at 10 (%): 45.32 -> 46.76Helped
Share encoders across dimensions grouped by agent versus theme (ablation)ATOMIC inference generation · unseen test eventsPrecision at 10 (%): 45.32 -> 46.41Helped
Share model parameters across related inference dimensions instead of training separate models (ablation)ATOMIC inference generation · TestBLEUMixed
Group dimensions by voluntary versus involuntary inference type (ablation)ATOMIC inference generation · TestBLEUMixed

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