Due to the cumbersome nature of human evaluation and limitations of code-based
evaluation, Large Language Models (LLMs) are increasingly being used to assist humans in …

Large language models (LLMs) are being increasingly deployed as part of pipelines that
repeatedly process or generate data of some sort. However, a common barrier to …

The integration of Large Language Models (LLMs), especially ChatGPT, into education is
poised to revolutionize students' learning experiences by introducing innovative …

As large language models (LLMs) advance, their potential applications have grown
significantly. However, it remains difficult to evaluate LLM behavior on user-specific tasks …

Large Language Models (LLMs) are increasingly utilized for domain-specific tasks, yet
integrating domain expertise into evaluating their outputs remains challenging. A common …

Analyzing unstructured data, such as complex documents, has been a persistent challenge
in data processing. Large Language Models (LLMs) have shown promise in this regard …

Large Language Models (LLMs) are increasingly integrated into diverse applications. The
rapid evolution of LLMs presents opportunities for developers to enhance applications …

Visualization linters are end-user facing evaluators that automatically identify potential chart
issues. These spell-checker like systems offer a blend of interpretability and customization …

Data-driven storytelling serves as a crucial bridge for communicating ideas in a persuasive
way. However, the manual creation of data stories is a multifaceted, labor-intensive, and …

Software systems that learn from data with AI and machine learning (ML) are becoming
ubiquitous and are increasingly used to automate impactful decisions. The risks arising from …