Automatic Sample Selection for Improved Few-Shot Learning
Discover how automatic combination of sample selection strategies boosts few-shot learning performance across diverse datasets and models.
COEVO: Optimizing Correctness & PPA in LLM RTL Generation
Discover COEVO, a co-evolutionary framework that enhances functional correctness and PPA optimization in LLM-based RTL code generation for superior hardwar...
Unified Entropy Control Boosts Reinforcement Learning
Discover how Unified Entropy Control enhances reinforcement learning with targeted exploration and stable optimization for better model performance.
Mind DeepResearch: Efficient Multi-Agent AI Framework
Discover Mind DeepResearch, a multi-agent AI framework with a unique training pipeline achieving top performance with 30B-parameter models.
When Is Skill Distillation Effective in Multi-Agent Systems?
Discover when skill distillation improves multi-agent systems by leveraging Metric Freedom and the AdaSkill adaptive framework for optimal results.