WebArena
Emerging7papers using it
2024first seen
WebArena is a benchmark dataset that contains traces from large language model (LLM) agents executing tool-using tasks, used to evaluate the effectiveness of online warning monitors in detecting potential failures during these tasks.
Papers using WebArena (7)
- WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web
TasksLearn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in
Realistic EnvironmentsPrefixGuard: From LLM-Agent Traces to Online Failure-Warning MonitorsStructured Distillation of Web Agent Capabilities Enables GeneralizationFocusAgent: Simple Yet Effective Ways of Trimming the Large Context of
Web AgentsR-WoM: Retrieval-augmented World Model For Computer-use AgentsAuto-Intent: Automated Intent Discovery and Self-Exploration for Large
Language Model Web Agents