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New MIRAGE benchmark tests web agents' investigative skills

By PulseAugur Editorial · [1 sources] ·

A new benchmark called MIRAGE has been developed to evaluate the investigative capabilities of autonomous web agents. The benchmark consists of 750 multi-step decision tasks across Wikipedia Forensics, Shopping Admin, and Reddit Moderation, each featuring a visible surface context that can be misleading and a hidden context requiring active investigation. Evaluations of eight LLM agents revealed that while agents can access relevant pages, they struggle to extract decisive evidence, often fail when faced with contradictory information, and exhibit a significant rate of investigative hallucination. AI

IMPACT Highlights a critical gap in current AI agent capabilities, suggesting a need for improved evidence retrieval and reasoning under uncertainty.

RANK_REASON The cluster contains an academic paper introducing a new benchmark for evaluating AI agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MIRAGE benchmark tests web agents' investigative skills

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The cluster contains an academic paper introducing a new benchmark for evaluating AI agents. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Syed Nazmus Sakib, Nafiul Haque, Tapodhir Karmakar Taton, Shahrear Bin Amin, Shifat E. Arman ·

    Do Web Agents Investigate Before They Decide?

    arXiv:2602.05354v3 Announce Type: replace Abstract: Autonomous web agents are increasingly deployed in moderation and policy enforcement, where correct decisions often depend on evidence that is not immediately visible and must be actively investigated. Yet existing benchmarks la…

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