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StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts

AAAI 2022 · Large language models › Retrieval and knowledge · approach: Knowledge graph reasoning with LLMs · 34 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use TP-MANN instead of the strongest reported baselinebAbI task 17 · bAbI task 17accuracy: 98.60$\pm$3.40 -> 99.88$\pm$0.10Helped
Use TP-MANN instead of STMbAbI task 19 · bAbI task 19accuracy: 99.98$\pm$0.05 -> 99.98$\pm$0.04No clear effect
Use TP-MANN instead of TPR-RNNStepGame · StepGame k=1–5, noisy testmean accuracy: 40.81 -> 52.99Helped
Use TP-MANN instead of TPR-RNNStepGame · StepGame k=6–10, noisy testmean accuracy: 16.65 -> 24.53Helped
Increase the number of recurrent memory layers (ablation)TP-MANN · StepGame, especially larger kaccuracyHelped
Increase the number of recurrent memory layers (ablation)TP-MANN · StepGame k=6–10, noisy testaccuracyHelped

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