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LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction
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This method uses the previously constructed Cultural Commonsense Knowledge Graph (CCKG) to augment smaller LLMs. It involves retrieving relevant CCKG assertions or paths using semantic search and employing them as in-context exemplars during the LLM's inference stage to improve performance on cultural reasoning tasks (MCQA, sentence completion) and story generation.
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This method proposes an iterative, prompt-based framework that leverages LLMs (GPT-4o) as "cultural archives" to systematically extract culture-specific entities (actions), relations, and multi-step inferential chains. It involves an initial generation phase of assertions and an iterative expansion phase to elaborate paths, thereby constructing a Cultural Commonsense Knowledge Graph (CCKG).
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