Papers with analogical reasoning capabilities

2 papers
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base (2024.acl-long)

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Challenge: ANALOGYKB is a million-scale analogy knowledge base based on existing knowledge graphs (KGs) based upon relational knowledge triples, we can discover new analogies using the corresponding relations between concepts.
Approach: They propose a million-scale analogy knowledge base derived from existing knowledge graphs (KGs) ANALOGYKB identifies analogies of the same relations and analogies from analogous relations .
Outcome: The proposed model enables both smaller LMs and LLMs to gain better analogical reasoning capabilities.
Scientific and Creative Analogies in Pretrained Language Models (2022.findings-emnlp)

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Challenge: Existing analogy datasets focus on a limited set of analogical relations with a high similarity of the two domains between which the analogy holds.
Approach: They propose a dataset that encodes analogy in pretrained language models . they use a system that maps attributes and relational structures across dissimilar domains .
Outcome: The proposed dataset shows that state-of-the-art models achieve low performance on analogy tasks .

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