Summary of Infiagent-dabench: Evaluating Agents on Data Analysis Tasks, by Xueyu Hu et al.
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
by Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
First submitted to arxiv on: 10 Jan 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 This paper introduces InfiAgent-DABench, a benchmark specifically designed to evaluate language model-based agents (LLMs) on data analysis tasks. The benchmark consists of DAEval, a dataset containing 257 questions derived from CSV files, and an agent framework that incorporates LLMs to serve as data analysis agents for both serving and evaluation. To address the challenge of evaluating open-ended data analysis questions without human supervision, the authors adopt a format-prompting technique to convert each question into a closed-form format. The authors then benchmark 34 LLMs on the DABench dataset, uncovering current challenges in data analysis tasks. Additionally, they develop a specialized agent, DAAgent, which surpasses GPT-3.5 by 3.9% on DABench. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about creating a special test for language models to see how well they can solve problems that involve analyzing data. The test has a lot of questions and uses a special way to turn open-ended questions into ones that can be automatically graded. The authors tested many different language models on this test and found out what kinds of problems they struggle with. They also created a new language model that is better at solving these types of problems than another popular one. |
Keywords
» Artificial intelligence » Gpt » Language model » Prompting
