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Arxiv
2d
47
Image Credit: Arxiv
Build the web for agents, not agents for the web
- Recent advancements in Large Language Models (LLMs) and multimodal counterparts have led to increased interest in developing AI systems known as web agents, capable of autonomously navigating web environments.
- Challenges arise due to the mismatch between human-designed interfaces and LLM capabilities, hampering current approaches in automating complex web interactions.
- Existing methods struggle with processing web inputs, such as massive DOM trees, augmented screenshots, or API interactions bypassing user interfaces.
- The position paper proposes a paradigm shift in web agent research, advocating for the development of an Agentic Web Interface (AWI) optimized for AI systems.
- Six guiding principles for AWI design are introduced, focusing on safety, efficiency, and standardization to cater to all primary stakeholders.
- The goal is to create more effective, reliable, and transparent web agent designs by reframing interactions for agents, rather than adapting agents to human-designed interfaces.
- The collaborative effort involves the broader machine learning community to overcome limitations of existing web interfaces.
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