
Scientists at CMU Unveil VisualWebArena: A Performance Assessment Tool for Multimodal Web Agents Using AI, Featuring Realistic Visual Challenges
Researchers at Carnegie Mellon University have developed VisualWebArena, a benchmark designed to assess the performance of autonomous agents in AI through visually stimulating challenges. Current benchmarks mainly evaluate text-based agents, but VisualWebArena takes into account an agent’s ability to process both textual and visual inputs, understand complex natural language instructions, and carry out tasks successfully.










