Conference: EACL - Demonstrations

Explore the relationship between option arrangement and performance variations in Large Language Models (LLMs) during
June 13, 2024
Researchers at Megagon Labs have been exploring how we can address the challenges of building
June 12, 2024
The article presents the WiTQA dataset, designed to assess the impact of retrieval on the
June 6, 2024
By enabling robust and accurate column annotation, this innovative framework holds the potential to revolutionize
June 3, 2024
This article offers a glimpse into the dynamic research environment at Megagon Labs, where researchers
May 28, 2024
To push the boundaries of text editing with LLMs, we introduce XATU—a new text editing
May 16, 2024
Instead of completely replacing human annotators with LLMs, we need to leverage the strengths of
May 7, 2024
We introduce our human-LLM collaborative annotation tool, MEGAnno+, addressing the challenges in LLM annotation by
March 14, 2024
We discuss how to leverage LLMs as data annotation agents and the practical challenges that
March 13, 2024
In the realm of text generation and summarization, the evaluation of generated summaries, especially for
March 12, 2024
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