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Perplexity launches WANDR benchmark for AI research agents

By PulseAugur Editorial · [1 sources] ·

Perplexity has introduced WANDR, a new open benchmark designed to evaluate research agents. This benchmark comprises 500 tasks that require agents to find and cite evidence to support their discoveries. In initial tests, Perplexity Search as Code achieved the highest score with a 0.363 soft F1. AI

IMPACT This benchmark could accelerate the development and evaluation of AI agents capable of complex information retrieval and evidence-based reasoning.

RANK_REASON The cluster describes the release of a new benchmark for evaluating AI research agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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

Perplexity launches WANDR benchmark for AI research agents

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0 / 100
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Tool
The cluster describes the release of a new benchmark for evaluating AI research agents. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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High
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69 days old
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Perplexity has released WANDR, an open benchmark with 500 evidence-heavy tasks for testing research agents. The benchmark evaluates whether agents can discover

    Perplexity has released WANDR, an open benchmark with 500 evidence-heavy tasks for testing research agents. The benchmark evaluates whether agents can discover many qualifying entities and back each with cited evidence. Perplexity Search as Code leads at 0.363 soft F1. https://ww…

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