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Pandora framework unifies structured knowledge reasoning using code-based representation

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.CL →

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Pandora framework unifies structured knowledge reasoning using code-based representation

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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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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yongrui Chen, Junhao He, Linbo Fu, Shenyu Zhang, Rihui Jin, Xinbang Dai, Jiaqi Li, Dehai Min, Nan Hu, Yuxin Zhang, Guilin Qi, Yi Huang, Tongtong Wu ·

    Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning

    arXiv:2508.17905v2 Announce Type: replace Abstract: Unified Structured Knowledge Reasoning (USKR) aims to answer natural language questions by using structured sources such as tables, databases, and knowledge graphs in a unified way. Existing USKR methods rely on task-specific st…

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