SciAgent: Gold Medal Performance Through Hierarchical Multi-Agent Scientific Reasoning Researchers from Zhongguancun Academy, Peking University, Tencent AI Lab, and collaborating institutions have developed SciAgent, a hierarchical multi-agent system that achieves gold medal performance... artificial intelligence hierarchical architecture mathematics multi-agent systems olympiad competitions physics ReAct framework scientific reasoning
AlphaEvolve: AI-Powered Mathematical Discovery at Scale Google DeepMind's AlphaEvolve is moving the bar yet again in how artificial intelligence tackles mathematical discovery. Published (preprint) in November 2025 by researchers Bogdan Georgiev, e t al at... AI AlphaProof automated reasoning combinatorics DeepMind evolutionary computation FunSearch large language models machine learning mathematical discovery mathematics optimization Terence Tao
Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu... computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods