AIBullisharXiv – CS AI · 7h ago6/10
🧠
Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration
Researchers introduce SCALE, a self-improving web agent framework that uses adversarial roles and cognitive-aware exploration to autonomously adapt to complex web environments without relying on handcrafted pipelines or expensive expert data. The framework includes SCALE-Hop, a graph exploration strategy, and SCALE-20k, a 20,000-sample dataset from 19 real-world websites that demonstrates improved performance across multiple multimodal large language models.