Pandora framework unifies structured knowledge reasoning using code-based representation

Researchers have developed Pandora, a new framework for Unified Structured Knowledge Reasoning (USKR) that aims to improve how AI systems interact with diverse structured data sources like tables and databases. Pandora utilizes a novel code-based knowledge representation based on Python's Pandas API, which aligns well with large language model pre-training. This approach facilitates a unified handling of different structured knowledge sources and employs knowledge transfer to build cross-task memory, enabling adaptive reasoning correction through code execution feedback. Experiments on six benchmarks across three USKR tasks show that Pandora surpasses existing unified reasoning frameworks and rivals task-specific methods. AI

IMPACT This framework could enhance AI's ability to process and reason over diverse structured data, improving performance in complex query tasks.

RANK_REASON The cluster describes a new research paper detailing a novel framework for structured knowledge reasoning. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• CORE Recommender
• Hugging Face
• Pandas
• Pandora
• Python
• Unified Structured Knowledge Reasoning
• Yongrui Chen

• paper
• other

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