LLM

We incoporate external knowledge and goals for better CRS.

We generate high-quality code-mixed sentences using language models.

We find positive use cases, but also weaknesses that need much handholding from human scientists.

We measure and enhance LLMs’ discourse understanding and reasoning faithfulness.

We provide language resource for emoji composition.

This project develops a visualizer utilising attention scores to enhance transformer interpretability.