The widespread integration of Generative Artificial Intelligence (GenAI) into higher education has transformed conventional practices for drafting, revising, translating, and presenting academic work.For multilingual researchers, large language models (or LLMs) provide immediate linguistic support, but their use also raises questions about reliability, authorship, overreliance, and academic integrity.Adrian Wallwork's AI-Assisted Writing and Presenting in English enters this discussion from a deliberately practical perspective.Published in Springer's English for Academic Research series, the book is aimed primarily at university students, doctoral candidates, researchers, language editors, translators, and English for Academic Purposes (EAP) teachers.Wallwork, a scientific editor and EAP teacher of PhD students, does not attempt to formulate a theory of GenAI-assisted language acquisition.Instead, he offers a hands-on guide to using chatbots and machine translation for recurring academic communication tasks.This practical orientation is both the book's principal strength and the source of some of its limitations.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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