WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
On the map: LLM agents and tool use → Web, search, and research agents
Abstract (arXiv)
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on measuring the agents' ability to perform tasks that span the typical daily work of knowledge workers utilizing enterprise software systems. To this end, we propose WorkArena, a remote-hosted benchmark of 33 tasks based on the widely-used ServiceNow platform. We also introduce BrowserGym, an environment for the design and evaluation of such agents, offering a rich set of actions as well as multimodal observations. Our empirical evaluation reveals that while current agents show promise on WorkArena, there remains a considerable gap towards achieving full task automation. Notably, our analysis uncovers a significant performance disparity between open and closed-source LLMs, highlighting a critical area for future exploration and development in the field.
Key facts. Cited by 348 papers in the map (data through 7 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 23 of its 32 references that are in the map. First posted on arXiv 12 Mar 2024.
Builds on
23 of 32 references.
Closest ancestors · 4
Same direction, newest first
- 2024WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models25 Jan
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agents25 Jul
- 2023Mind2Web: Towards a Generalist Agent for the Web9 Jun
- 2022WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents4 Jul
Other references · 19
- 2023GPT-4 Technical Reportcited by 18,132
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- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
- 2022Emergent Abilities of Large Language Modelscited by 2,483
- 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,722
- 2023AgentBench: Evaluating LLMs as Agentscited by 1,211
- 2023Language Models can Solve Computer Taskscited by 371
- 2023A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesiscited by 350
- 2023AgentTuning: Enabling Generalized Agent Abilities for LLMscited by 319
- 2023Android in the Wild: A Large-Scale Dataset for Android Device Controlcited by 314
- 2023Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4Vcited by 291
7 more
- 2018Reinforcement Learning on Web Interfaces Using Workflow-Guided Explorationcited by 282
- 2020Mapping Natural Language Instructions to Mobile UI Action Sequencescited by 180
- 2024WebLINX: Real-World Website Navigation with Multi-Turn Dialoguecited by 177
- 2023Multimodal Web Navigation with Instruction-Finetuned Foundation Modelscited by 159
- 2022A data-driven approach for learning to control computerscited by 87
- 2023BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agentscited by 83
- 2023Automatic Macro Mining from Interaction Traces at Scalecited by 12
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Citing papers per year: 2024: 33; 2025: 89; 2026: 226.
348 papers.
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50 most cited of 348 All 348 (JSON)
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