2025
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
EMNLP 2025
In-context learning (ICL) effectively conditions large language models (LLMs) for molecular tasks, such as property prediction and molecule captioning, by embedding carefully selected demonstration examples into the input prompt. This approach eliminates the computational overhead of extensive pre-t