Web Automation
Web automation focuses on developing agents capable of autonomously performing tasks on websites, streamlining workflows and improving efficiency. Current research emphasizes improving agent reliability and scalability through techniques like multimodal validation, natural language instruction processing, and the integration of large language models (LLMs) with browser automation frameworks. These advancements are leading to more robust and adaptable web agents, with applications ranging from automated data extraction to personalized customer service, impacting both research in AI and practical applications across various industries.
Papers
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