Results 111 to 120 of about 237 (164)
ABSTRACT Background The rapid advancement of artificial intelligence (AI) is reshaping language education, with AI‐assisted language learning (AILL) offering new opportunities for personalised support and interactive engagement. However, it remains underexplored how English as a Foreign Language (EFL) learners perceive and engage with AI tools in ...
Yonghua Wang +2 more
wiley +1 more source
Abstract Green and Giblin's ‘systematic review’ of multiliteracies in the December 2025 issue of this journal concludes: there is ‘no evidence’ of impact. This paper replies with a three‐layer analysis of that claim and the evidentiary regime behind it.
Bill Cope, Mary Kalantzis
wiley +1 more source
When GUI‐Based Testing of Web Applications Meets Code Review
Summary of our findings on practices, challenges, information needs and future improvements for code review of GUI‐based testing artefacts. ABSTRACT Code review is a well‐established practice to ensure code quality, identify potential bugs, promote knowledge sharing and maintain coding standards within a team or organization.
Andreas Bauer +3 more
wiley +1 more source
mmCIF Validator: a comprehensive validation tool for structural biology data files
The mmCIF Validator provides real‐time automated validation of mmCIFs against a valid PDBx/mmCIF dictionary. The validator is available as both a Visual Studio Code extension and a standalone Python script for integration into automated workflows.The PDBx/macromolecular crystallographic information file (PDBx/mmCIF) framework is the standard for ...
Deborah Harrus +5 more
wiley +1 more source
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley +1 more source
Thinking Is Not Enough: The B* Expansion Technique for Enhancing Autonomous LLM Agents
ABSTRACT Most autonomous agents built on large language models (LLMs) focus on improving internal reasoning while assuming a fixed and complete set of primitive actions. In this work, we challenge this assumption and introduce the B*$$ {B}^{\ast } $$ expansion technique, an action‐centric method that enables agents to iteratively construct new actions ...
Sebastián Andrés Mayorquín Posadas +1 more
wiley +1 more source
Abstract This article examines how openness is interpreted in human–LLM interaction through an ethnographic study of a robotics experiment. Focusing on an episode in which a robot produced an unexpected utterance, I analyze how engineers classify the output as inconsequential noise.
Raffaele Andrea Buono
wiley +1 more source
CyberGeoAI For Intelligent Spatial Decision Support
ABSTRACT The evolution of spatial decision support systems (SDSS) is being rapidly shaped by the integration of Cyberinfrastructure (CI) and Geospatial Artificial Intelligence (GeoAI), collectively referred to as CyberGeoAI. The rise of big data, complex decision environments, and computing power gives opportunities for advanced tool development to ...
Zhe Zhang +11 more
wiley +1 more source
Exploring the Syntax-Semantics Interface
Robert D. Van Valin, Jr., Exploring the Syntax-Semantics Interface, Cambridge University Press, 2005.
openaire +2 more sources
Italian-based Large Language Models at the Syntax-Semantics Interface: the Case of Instrumental Role
The linguistic competence of Large Language Models (LLMs) has been the focus of extensive investigation in recent years. Yet, the syntax-semantics interface remains a relatively understudied aspect of LLMs’ linguistic abilities.
Alice Suozzi +2 more
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