Explore the relationship between option arrangement and performance variations in Large Language Models (LLMs) during

Researchers at Megagon Labs have been exploring how we can address the challenges of building

The article presents the WiTQA dataset, designed to assess the impact of retrieval on the

By enabling robust and accurate column annotation, this innovative framework holds the potential to revolutionize

This article offers a glimpse into the dynamic research environment at Megagon Labs, where researchers

To push the boundaries of text editing with LLMs, we introduce XATU—a new text editing

Instead of completely replacing human annotators with LLMs, we need to leverage the strengths of

We introduce our human-LLM collaborative annotation tool, MEGAnno+, addressing the challenges in LLM annotation by

We discuss how to leverage LLMs as data annotation agents and the practical challenges that

In the realm of text generation and summarization, the evaluation of generated summaries, especially for