打造全流程AI科研助手，提升研究效率与可复现性。
TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cycles
- 构建多任务助手协同的AI科研平台，覆盖研究全周期。
- 支持生成论文内容并以RO-Crate格式导出，保障透明可复现。
- 适合希望提升科研效率的研究人员及团队使用。
人工智能（AI）尤其是大语言模型（LLMs）的兴起正深刻影响学术领域，有望在研究全生命周期中提供支持。本文展示TIB AIssistant——一个贯穿研究全过程的AI支持平台。该平台由多个专用助手组成，分别负责不同研究任务，并集成外部学术服务工具。生成的数据存于资产中，可导出为RO-Crate包，以增强研究的透明性与可复现性。通过一系列助手协作生成论文草稿的示例，展示了其核心功能。最终，AIssistant为构建社区共建的AI辅助研究平台奠定了基础。
原文摘要 · Abstract (English)
The rapidly growing popularity of adopting Artificial Intelligence (AI), and specifically Large Language Models (LLMs), is having a widespread impact throughout society, including the academic domain. AI-supported research has the potential to support researchers with tasks across the entire research life cycle. In this work, we demonstrate the TIB AIssistant, an AI-supported research platform providing support throughout the research life cycle. The AIssistant consists of a collection of assistants, each responsible for a specific research task. In addition, tools are provided to give access to external scholarly services. Generated data is stored in the assets and can be exported as an RO-Crate bundle to provide transparency and enhance reproducibility of the research project. We demonstrate the AIssistant's main functionalities by means of a sequential walk-through of assistants, interacting with each other to generate sections for a draft research paper. In the end, with the AIssistant, we lay the foundation for a larger agenda of providing a community-maintained platform for AI-supported research.
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