Sep 2026· Proceedings of the 37th ACM Conference on Hypertext· 0 citations· 135 references
TL;DR
Read in such a light, it is shown that current TfT have rediscovered, unknowingly, ideas already known in the hypertext community, while remaining blind both to that prior art and to these alternative traditions.
Abstract
‘Tools for Thought’ (TfT) has undergone a quiet but significant change in meaning since its origins in the 1980s. Where once it described enhancing human cognition it has since been co-opted to describe a new generation of Markdown-centric, wiki-linked, Web-tech based app. This paper traces the conceptual drift, looking at the previously closer relationship of noting and outlining with Personal Knowledge Management (PKM) tools and with hypertext research. It looks at what has been lost in the move to the newer style of program via blogging, wikis and the embracing of no/low code app creation. This history is set against the wider structuralist turn of the mid-twentieth century—the same cybernetic move that split into economy-scale and mind-scale visions of control. Also considered are overlooked note-taking traditions—both non-Western and strands within the West itself—that this history has largely ignored. Read in such a light, it is shown that current TfT have rediscovered, unknowingly, ideas already known in the hypertext community, while remaining blind both to that prior art and to these alternative traditions. Lastly, generative AI is considered as an emerging challenge for note-taking.
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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