AIANO: Enhancing Information Retrieval with AI-Augmented Annotation

• URL: http://arxiv.org/abs/2602.04579v1
• Date: Wed, 04 Feb 2026 14:05:12 GMT
• Title: AIANO: Enhancing Information Retrieval with AI-Augmented Annotation
• Abstract summary: Off-the-shelf tools make the annotation process complex and inefficient.<n>We developed AIANO, an AI-augmented annotation tool that tightly integrates human expertise with LLM assistance.<n>Results show that AIANO's AI-augmented approach accelerates and enhances dataset creation for information retrieval tasks.
• Score: 5.257471991948221
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rise of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) has rapidly increased the need for high-quality, curated information retrieval datasets. These datasets, however, are currently created with off-the-shelf annotation tools that make the annotation process complex and inefficient. To streamline this process, we developed a specialized annotation tool - AIANO. By adopting an AI-augmented annotation workflow that tightly integrates human expertise with LLM assistance, AIANO enables annotators to leverage AI suggestions while retaining full control over annotation decisions. In a within-subject user study ($n = 15$), participants created question-answering datasets using both a baseline tool and AIANO. AIANO nearly doubled annotation speed compared to the baseline while being easier to use and improving retrieval accuracy. These results demonstrate that AIANO's AI-augmented approach accelerates and enhances dataset creation for information retrieval tasks, advancing annotation capabilities in retrieval-intensive domains.

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