Kushan Mitra


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MEGAnno+: A Human-LLM Collaborative Annotation System
Hannah Kim | Kushan Mitra | Rafael Li Chen | Sajjadur Rahman | Dan Zhang
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations

Large language models (LLMs) can label data faster and cheaper than humans for various NLP tasks. Despite their prowess, LLMs may fall short in understanding of complex, sociocultural, or domain-specific context, potentially leading to incorrect annotations. Therefore, we advocate a collaborative approach where humans and LLMs work together to produce reliable and high-quality labels. We present MEGAnno+, a human-LLM collaborative annotation system that offers effective LLM agent and annotation management, convenient and robust LLM annotation, and exploratory verification of LLM labels by humans.