{"slug": "cortex-high-quality-cross-domain-organization-of-web-scale-corpora-through-graph", "title": "CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph", "summary": "Researchers introduced Cortex, a framework that organizes web-scale corpora into an Ontological Corpus Graph (OCG) for structured knowledge organization, addressing the lack of systematic organization in existing corpus pipelines. The framework includes a quality-refined content layer, a hierarchical ontology layer via LLM-driven evolution, and a cross-domain alignment layer, validated through the CortexBench benchmark across eight frontier LLMs. The team will release the codebase, a 24.14B-token refined corpus with its OCG, and CortexBench.", "body_md": "The continuous evolution of large language models drives escalating demands on data scale and quality, and as different training stages impose increasingly tailored data requirements, systematic organization of high-quality corpora becomes indispensable. Existing corpus construction pipelines confine the resulting corpora to flat, undifferentiated document collections, universally lacking systematic knowledge organization. We present Cortex, to our knowledge the first framework that elevates web-scale corpus construction from flat document filtering to structured knowledge organization through an Ontological Corpus Graph (OCG), a three-layer heterogeneous structure unifying a quality-refined content layer, a hierarchical lightweight ontology layer via LLM-driven automated evolution, and a cross-domain alignment layer enabling inter-domain association at arbitrary taxonomic resolution. Comprehensive experiments confirm the effectiveness of Cortex. In particular, we leverage the OCG to synthesize CortexBench, a cross-domain search-and-reasoning benchmark whose evaluation across eight frontier LLMs validates the effectiveness of quality refinement, domain organization, and cross-domain data synthesis. We will publicly release the complete codebase, a 24.14B-token refined corpus with its OCG, and CortexBench. Category: Uncategorized. Imported rows: 8. Top imported result: GPT-5.4, rank 1, 96.10.", "url": "https://wpnews.pro/news/cortex-high-quality-cross-domain-organization-of-web-scale-corpora-through-graph", "canonical_source": "https://benchmarklist.com/benchmarks/cortex_high_quality_cross_domain_organization_of_web_scale_corpora_through_ontological_corpus_graph/", "published_at": "2026-06-29 00:00:00+00:00", "updated_at": "2026-07-15 19:00:35.254897+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "natural-language-processing", "ai-infrastructure"], "entities": ["Cortex", "Ontological Corpus Graph", "CortexBench", "GPT-5.4"], "alternates": {"html": "https://wpnews.pro/news/cortex-high-quality-cross-domain-organization-of-web-scale-corpora-through-graph", "markdown": "https://wpnews.pro/news/cortex-high-quality-cross-domain-organization-of-web-scale-corpora-through-graph.md", "text": "https://wpnews.pro/news/cortex-high-quality-cross-domain-organization-of-web-scale-corpora-through-graph.txt", "jsonld": "https://wpnews.pro/news/cortex-high-quality-cross-domain-organization-of-web-scale-corpora-through-graph.jsonld"}}