MASPO: Optimizing Prompts for LLM Multi-Agent Systems
Discover MASPO, a novel framework that optimizes prompts for LLM-based multi-agent systems, boosting collaboration and task performance.
SkillOS: Adaptive Skill Curation for Self-Evolving AI Agents
Discover how SkillOS enhances AI agents with experience-driven skill curation, enabling self-evolution and improved task performance across domains.
NeuroAgent: Automated Multimodal Neuroimaging Analysis Tool
NeuroAgent uses LLMs to automate multimodal neuroimaging preprocessing and analysis, boosting accuracy and efficiency in Alzheimer's research.
Optimized Adjoint Matching for Fine-Tuning Flow Models
Discover improved adjoint matching techniques for fine-tuning flow models, enhancing efficiency and human preference alignment in generative AI.
Evaluating AI’s Impact on Idea Diversity Collapse
Discover how AI affects idea diversity and learn new methods to prevent creativity collapse in AI-generated content with our latest research insights.