AI BriefingAtlas.scime.ai updates research database with 2026 ICML, CVPR, and ICLR papers and trend analysis
·2026.11.10 07:39
Key point
The platform now covers approximately 101k full texts from 2026 conferences, highlighting a shift toward LLM agents and multimodal models.
Details
- Atlas.scime.ai expanded its research database to include 2026 papers, processing approximately 101k full texts to extract roughly one million experimental findings.
- Coverage includes almost all ICML, CVPR, and AAAI 2026 papers, about 4.1k of 5.4k ICLR papers, and over half of NeurIPS 2026 papers.
- Trend analysis shows LLM agents increased from 1.2% to 4.4% of ICML papers, while multimodal LLMs doubled at CVPR from 5.4% to 10.8%.
- Qwen is the most-used base model in results tables across all three conferences, and RL with verifiable rewards grew from near zero to 110 papers at ICLR.
- Data is extracted by AI without manual verification and should be used as a starting point rather than a definitive leaderboard, as papers often over-report successful results.
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