AI Agent

GLA-SD aims to advance the technologies of LLM-based agents for automated scientific discovery by tackling challenges of versatility, interpretability, collaborativity and trustworthiness. These agents will integrate domain-specific knowledge and advanced reasoning to generate precise, robust, and contextually accurate scientific insights, while prioritising human-AI synergy, ethical responsibility, and legal compliance to ensure transparent, interpretable, and trustworthy AI-driven scientific discovery workflows.

This project envisions a future where AI systems are more capable, versatile, and continually improving, driving progress across various fields. Building on this, our project, named Sella, aims to develop new techniques and methodologies for modelling Self-evolving collaborative LLM-based Agents.