CLSep 17, 2025

Findings of the Third Automatic Minuting (AutoMin) Challenge

arXiv:2509.13814v1h-index: 9
Originality Synthesis-oriented
AI Analysis

This is an incremental update to a shared task for researchers in natural language processing, specifically in meeting summarization and QA.

The paper presents the third AutoMin challenge, focusing on automatic meeting summarization into minutes and a new question answering task, evaluating current large language models across languages and domains with limited participation.

This paper presents the third edition of AutoMin, a shared task on automatic meeting summarization into minutes. In 2025, AutoMin featured the main task of minuting, the creation of structured meeting minutes, as well as a new task: question answering (QA) based on meeting transcripts. The minuting task covered two languages, English and Czech, and two domains: project meetings and European Parliament sessions. The QA task focused solely on project meetings and was available in two settings: monolingual QA in English, and cross-lingual QA, where questions were asked and answered in Czech based on English meetings. Participation in 2025 was more limited compared to previous years, with only one team joining the minuting task and two teams participating in QA. However, as organizers, we included multiple baseline systems to enable a comprehensive evaluation of current (2025) large language models (LLMs) on both tasks.

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