Summary of Sciagent: Tool-augmented Language Models For Scientific Reasoning, by Yubo Ma et al.
SciAgent: Tool-augmented Language Models for Scientific Reasoning
by Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Awadalla, Weizhu Chen
First submitted to arxiv on: 18 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 The paper introduces a new task setting called tool-augmented scientific reasoning, which aims to make it more practical for Large Language Models (LLMs) to solve scientific problems by supplementing them with scalable toolsets. The authors construct a training corpus named MathFunc, which includes over 30,000 samples and approximately 6,000 tools, to facilitate research in this area. They also develop SciAgent, a model that retrieves, understands, and uses tools for scientific problem-solving. Additionally, the paper presents SciToolBench, a benchmark spanning five scientific domains to evaluate LLMs’ abilities with tool assistance. The results show that SciAgent outperforms other LLMs in several tasks, with SciAgent-Mistral-7B achieving an absolute accuracy of over 13% higher than its peers. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper introduces a new way for machines to solve scientific problems by giving them tools like calculators and formulas. The authors create a big dataset called MathFunc that contains many examples and tools, and they develop a model called SciAgent that can use these tools to help it solve problems. They also created a test set called SciToolBench that lets them compare how well different models do with tool assistance. The results show that their model, SciAgent, does very well and is better than other models in some areas. |
