WebArena-Lite
Emerging5papers using it
2025first seen
'WebArena-Lite' is a dataset/benchmark used to evaluate the performance of large language model-based agents in web navigation tasks, particularly focusing on their ability to handle dynamic content and long sequences of actions.
Papers using WebArena-Lite (5)
- WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement
LearningWeb-Shepherd: Advancing PRMs for Reinforcing Web AgentsPlan-and-Act: Improving Planning of Agents for Long-Horizon TasksA Subgoal-driven Framework for Improving Long-Horizon LLM AgentsWhen Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation