WebWISE: Web Interface Control and Sequential Exploration with Large Language Models

التفاصيل البيبلوغرافية
العنوان: WebWISE: Web Interface Control and Sequential Exploration with Large Language Models
المؤلفون: Tao, Heyi, T V, Sethuraman, Shlapentokh-Rothman, Michal, Hoiem, Derek
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
الوصف: The paper investigates using a Large Language Model (LLM) to automatically perform web software tasks using click, scroll, and text input operations. Previous approaches, such as reinforcement learning (RL) or imitation learning, are inefficient to train and task-specific. Our method uses filtered Document Object Model (DOM) elements as observations and performs tasks step-by-step, sequentially generating small programs based on the current observations. We use in-context learning, either benefiting from a single manually provided example, or an automatically generated example based on a successful zero-shot trial. We evaluate the proposed method on the MiniWob++ benchmark. With only one in-context example, our WebWISE method achieves similar or better performance than other methods that require many demonstrations or trials.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2310.16042
رقم الأكسشن: edsarx.2310.16042
قاعدة البيانات: arXiv