{"slug": "wandr", "title": "WANDR", "summary": "A new benchmark called WANDR (Wide ANd Deep Research) has been introduced to evaluate research agents on 500 realistic data-collection tasks involving entity discovery and evidence-backed claims, using a reference-free grader that re-fetches cited pages. The benchmark reports precision, recall, and F1 scores over hierarchical task structures, with Perplexity Search as Code (GPT-5.5) ranking first at 36.30.", "body_md": "WANDR (Wide ANd Deep Research) evaluates research agents on 500 realistic, high-volume data-collection tasks that require broad entity discovery, systematic enrichment, and evidence-backed claims. Its reference-free grader re-fetches cited pages and reports soft and hard precision, recall, and F1 over hierarchical task structures. Category: Agentic. Imported rows: 6. Top imported result: Perplexity Search as Code (GPT-5.5, high), rank 1, 36.30.", "url": "https://wpnews.pro/news/wandr", "canonical_source": "https://benchmarklist.com/benchmarks/wandr/", "published_at": "2026-07-14 00:00:00+00:00", "updated_at": "2026-07-15 18:59:39.161928+00:00", "lang": "en", "topics": ["ai-research", "ai-agents", "natural-language-processing"], "entities": ["WANDR", "Perplexity", "GPT-5.5"], "alternates": {"html": "https://wpnews.pro/news/wandr", "markdown": "https://wpnews.pro/news/wandr.md", "text": "https://wpnews.pro/news/wandr.txt", "jsonld": "https://wpnews.pro/news/wandr.jsonld"}}