Summary of Workarena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?, by Alexandre Drouin et al.
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
by Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, Alexandre Lacoste
First submitted to arxiv on: 12 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- 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 proposed WorkArena benchmark assesses large language model-based agents’ ability to perform tasks that knowledge workers typically encounter when using enterprise software systems. The study introduces BrowserGym, an environment for designing and evaluating such agents, featuring a rich set of actions and multimodal observations. While current agents show promise on WorkArena, there remains a significant gap towards achieving full task automation. Notably, the analysis reveals a performance disparity between open- and closed-source LLMs, highlighting a critical area for future exploration. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary We’re studying how well computer programs can interact with software using web browsers. We want to know if these programs can help people do their jobs more efficiently. To test this, we created a special test called WorkArena that has 33 tasks based on real-life work scenarios. We also made BrowserGym, which is like a big playground for these computer programs to practice and learn from. Our results show that these programs are good at some things, but still need improvement to do all the tasks perfectly. What’s interesting is that different types of language models perform differently, so we should focus on making them better. |
Keywords
* Artificial intelligence * Large language model
