Papers with disentangle extraction

1 papers
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning (2023.findings-emnlp)

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Challenge: Recent studies highlight the struggles even large language models encounter when it comes to performing spatial reasoning over text.
Approach: They propose to disentangle spatial reasoning over text and compare them to state-of-the-art models with no explicit design for these parts.
Outcome: The proposed models show that they can perform spatial reasoning over text and can generalize within real data domains.

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