JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models

• URL: http://arxiv.org/abs/2512.06859v1
• Date: Sun, 07 Dec 2025 14:29:23 GMT
• Title: JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models
• Authors: Ce Chi, Xing Wang, Zhendong Wang, Xiaofan Liu, Ce Li, Zhiyan Song, Chen Zhao, Kexin Yang, Boshen Shi, Jingjing Yang, Chao Deng, Junlan Feng,
• Abstract summary: JT-DA-8B is a specialized large language model designed for complex table reasoning tasks across diverse real-world scenarios.<n>We construct a comprehensive and diverse training corpus with 34 well-defined table reasoning tasks, by aggregating 29 public table QA datasets and 3 million tables.<n> Experimental results show that JT-DA-8B achieves strong performance in various table reasoning tasks.
• Score: 58.408398005993455
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this work, we present JT-DA-8B (JiuTian Data Analyst 8B), a specialized large language model designed for complex table reasoning tasks across diverse real-world scenarios. To address the lack of high-quality supervision in tabular reasoning scenarios, we construct a comprehensive and diverse training corpus with 34 well-defined table reasoning tasks, by aggregating 29 public table QA datasets and 3 million tables. An automatic pipeline is proposed to generate realistic multi-step analytical tasks involving reasoning patterns. The model is trained upon open-source JT-Coder-8B model, an 8B-parameter decoder-only foundation model trained from scratch. In the training stage, we leverage LLM-based scoring and workflow-aligned filtering to distill high-quality, table-centric data. Both supervised fine-tuning (SFT) and Reinforcement learning (RL) are adopted to optimize our model. Afterwards, a four-stage table reasoning workflow is proposed, including table preprocessing, table sensing, tool-integrated reasoning, and prompt engineering, to improve model interpretability and execution accuracy. Experimental results show that JT-DA-8B achieves strong performance in various table reasoning tasks, demonstrating the effectiveness of data-centric generation and workflow-driven optimization.

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