Summary of Matata: a Weakly-supervised Mathematical Tool-assisted Reasoning For Tabular Applications, by Vishnou Vinayagame et al.
MATATA: A weakly-supervised MAthematical Tool-Assisted reasoning for Tabular Applications
by Vishnou Vinayagame, Gregory Senay, Luis Martí
First submitted to arxiv on: 28 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research introduces MATATA, a novel method for training small language models (SLMs) to solve tabular data problems through reasoning, planning, and tool use. The approach is cost-effective and doesn’t rely on closed-source or large models, external data, or extensive prompt engineering. MATATA empowers SLMs with 3.8B/8B parameters, making them suitable for local hosting and sensitive business contexts where data privacy is crucial. The method uses a progressive self-improvement paradigm and iterative weak supervision to achieve robust performance with effective scalability across shared tasks. Experiments show that MATATA reaches state-of-the-art performances on FinQA and TAT-QA among reasoning frameworks based on open-source models, competing with GPT-4-based frameworks on TabMWP. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary MATATA is a new way to train small language models to solve problems with data. This approach doesn’t need big or secret models, extra data, or lots of work to prepare prompts. MATATA helps these models learn and improve by themselves, making them good for local use and businesses where privacy matters. This method uses special tools and ways to make the models better, faster, and more efficient. It works well on different types of problems and datasets, showing that it’s a strong approach for solving tabular data tasks. |
Keywords
» Artificial intelligence » Gpt » Prompt
