Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
AML je besplatna referentna, obrazovna i istraživačka onlajn alatka: pruža objašnjene prevode reči i drugih leksičkih jedinica, van rečeničnog konteksta ili unutar njega. Primarni par jezika je englesko-srpski / srpsko-engleski, kao i bilo koji drugi par jezika kojim je ovladao odabrani AI-četbot. Zadatak ‘Prevedi’ utvrđuje nameravano leksičko značenje, daje njegovu definiciju na izvornom i ciljnom jeziku, predlaže do 5 prikladnih prevoda, rangira ih i uspostavlja razliku među njima, objašnjava važne kontraste i zaključuje s najboljim predlogom. Zadatak ‘Oceni prevod’ nepristrasno vrednuje korisnikov predloženi prevod, daje kratko i obrazloženo objašnjenje, nudi prikladne alternative kada je potrebno, poredi ih kada je bitno i zaključuje s najboljim predlogom. / AML is a free reference, educational and research online tool: provides explained translation of words and other lexical units, in isolation or in sentential context. The primary language pair is English-Serbian / Serbian-English, but also any other language pair mastered by the chosen AI chatbot. The ‘Translate’ task identifies the intended lexical meaning, gives its definition in the source and target language, proposes up to 5 appropriate translations, ranks and differentiates them, explains important contrasts and concludes with the best proposal. The ‘Assess translation’ impartially evaluates the user’s proposed translation, gives a short and well-argued explanation, offers appropriate alternatives when necessary, compares them when relevant and concludes with the best proposal.
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
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
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
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