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New browser agent mimics human navigation, achieves 89% success

By PulseAugur Editorial · [2 sources] ·

Researchers have developed SUPERBROWSER, an autonomous web navigation agent that mimics human browsing behavior. The system uses a vision-first pipeline to identify interactive elements and a three-part 'brain' for strategic and operational reasoning. It achieved an 89.47% success rate on the Mind2Web Hard benchmark, outperforming existing open-source browser-agent baselines. AI

IMPACT Sets a new benchmark for autonomous web navigation agents, potentially influencing future AI development in this area.

RANK_REASON The cluster contains a research paper detailing a new AI model and its performance on a benchmark.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Radeen Mostafa, Sawradip Saha ·

    RunAgent SuperBrowser: A Theory of Autonomous Web Navigation Grounded in Human Browsing Behaviour

    arXiv:2606.09399v1 Announce Type: new Abstract: We present SUPERBROWSER, an autonomous web-navigation agent designed against a single guiding hypothesis: a web agent should browse the way a person browses. A human reading a page does not retain every pixel they have seen; they lo…

  2. arXiv cs.AI TIER_1 English(EN) · Sawradip Saha ·

    RunAgent SuperBrowser: A Theory of Autonomous Web Navigation Grounded in Human Browsing Behaviour

    We present SUPERBROWSER, an autonomous web-navigation agent designed against a single guiding hypothesis: a web agent should browse the way a person browses. A human reading a page does not retain every pixel they have seen; they look at a few candidate targets, decide on one, an…

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