Search Beyond Queries: Training Smaller Language Models for Web Interactions via Reinforcement Learning

arXiv:2404.10887v1 Announce Type: new
Abstract: Traditional search systems focus on query formulation for effective results but face challenges in scenarios such as product searches where crucial product details (e.g., size, color) remain concealed until users visit specific product pages. This highlights the need for intelligent web navigation agents capable of formulating queries and navigating web pages according to users' high-level intents. In response to this need, this work introduces a Grounded Language Agent for Intelligent Web Interactions, called GLAINTEL. Drawing …

abstract arxiv beyond challenges color cs.cl face focus highlights intelligent interactions language language models navigation product queries query reinforcement reinforcement learning results search systems training type via web web navigation