Results 61 to 70 of about 76,455 (141)

Co‐textual dopes: How LLMs produce contextually appropriate text in chat interactions with humans without access to context

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley   +1 more source

The chatbot's real self: On the archaeology of artificial personas Le vrai soi du chatbot: vers une archéologie des personnes artificielles

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley   +1 more source

Constructing National Higher Education Brands: Korea, India and Israel Compared

open access: yesEuropean Journal of Education, Volume 61, Issue 1, March 2026.
ABSTRACT This study examines the websites of the national higher education (HE) brands of Study in Korea, Study in India and Study in Israel, exploring how these ‘offbeat’ destinations position themselves in the global HE market. Drawing on rhetorical analysis and employing a qualitative comparative case study approach, it reveals the key identity ...
Annette Bamberger   +2 more
wiley   +1 more source

Pitfalls, benefits, and comparative analysis of artificial intelligence ChatBots in the systematic review process

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 2, Page 719-774, March 2026.
Abstract The transformative potential of artificial intelligence (AI) ChatBots, leveraging natural language processing for information retrieval and knowledge synthesis, has garnered attention across diverse fields, including research. Recognizing AI's importance, researchers and policymakers are actively engaged in its development.
Cinzia Daraio   +2 more
wiley   +1 more source

Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications

open access: yesAdvanced Sensor Research, Volume 5, Issue 2, February 2026.
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo   +2 more
wiley   +1 more source

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad   +3 more
wiley   +1 more source

Who Gives Feedback Matters: Student Biases Towards Human and AI‐Generated Formative Feedback

open access: yesJournal of Computer Assisted Learning, Volume 42, Issue 1, February 2026.
ABSTRACT Background Feedback is essential for learning, helping individuals understand and improve their performance. However, providing timely, personalised feedback in higher education is challenging. Generative AI offers a scalable solution, yet little is known about students' biases towards AI‐generated feedback.
Tanya Nazaretsky   +4 more
wiley   +1 more source

Against the Manhattan project framing of AI alignment

open access: yesMind &Language, Volume 41, Issue 1, Page 119-136, February 2026.
In response to the worry that autonomous generally intelligent artificial agents may at some point take over control of human affairs a common suggestion is that we should “solve the alignment problem” for such agents. We show that current discourse around this suggestion often uses a particular framing of artificial intelligence (AI) alignment as ...
Simon Friederich, Leonard Dung
wiley   +1 more source

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