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Please meet AI, Our Dear New Colleague. In other Words: Can Scientists and Machines Truly Cooperate?
Gurevych, Iryna
Gurevych, Iryna
Author
Supervisor
Department
Natural Language Processing
Embargo End Date
Type
Conference proceeding
Date
2025
License
Language
English
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Research Projects
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Abstract
How can AI and LLMs facilitate the work of scientists in different stages of the research process? Can technology even make scientists obsolete? The role of AI and Large Language Models (LLMs) in science as the target application domain has recently been rapidly growing. This includes assessing the impact of scientific work, facilitating writing and revising manuscripts as well as intelligent support for manuscript quality assessment, peer-review and scientific discussions. The talk will illustrate such methods and models using several tasks from the scientific domain. We argue that while AI and LLMs can effectively support and augment specific steps of the research process, expert-AI collaboration may be a more promising mode for complex research tasks.
Citation
I. Kuznetsov et al., “What Can Natural Language Processing Do for Peer Review?,” Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 3–4, May 2024, doi: https://doi.org/10.1145/3726302.373005
Source
SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Conference
48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Keywords
Large Language Models, AI for Science, Peer-Review, Human-AI Collaboration
Subjects
Source
48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher
Association for Computing Machinery