Latentic Labs has updated its research topic pages to include papers from 2026, covering a significant portion of major AI conferences like ICML, CVPR, and AAAI. The platform now analyzes approximately 101,000 full-text papers, extracting over a million findings on experimental results. Analysis of the 2026 papers reveals trends such as a rise in LLM agents at ICML, a doubling of multimodal LLMs at CVPR, and a surge in reinforcement learning with verifiable rewards at ICLR. Notably, Qwen emerged as the most frequently used base model across these conferences, and around a quarter of tested changes in papers reportedly showed no improvement or negative results. AI
IMPACT Provides researchers with updated trend analysis and a starting point for exploring new findings from major AI conferences.
RANK_REASON The item describes an update to a research platform that aggregates and analyzes academic papers from AI conferences. [lever_c_demoted from research: ic=1 ai=1.0]
- International Conference on Learning Representations
- International Conference on Machine Learning
- Latentic Labs
- Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Qwen
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