Oct 2026· Journal of Natural Language and Linguistics· 0 citations
Abstract
Autistic children do not experience pragmatic-language difficulties in the same way. Some may need support with conversation, inference, or communication repair, whereas others communicate effectively when the setting, task, or communication partner is familiar. This review examines what recent intervention research can-and cannot-tell us about supporting these differences. Literature published mainly between 2015 and 2025 was identified through PubMed, ERIC, citation searching, and relevant publisher databases. Earlier studies were retained when they informed current intervention models or debates. The reviewed approaches included explicit pragmatic teaching, naturalistic and play-based intervention, parent- and peer-mediated programmes, school-based support, and the use of technology. Many studies reported improvement in the behaviours or skills directly addressed during intervention. Evidence of lasting change in ordinary classrooms, homes, and peer relationships was much more limited. This distinction is important, since performing a practised task successfully is not the same as communicating more easily in daily life. Conclusions were also restricted by small samples, considerable variation between interventions, and the use of measures that were often closely related to the content taught. The review further considers how intervention goals are defined. Teaching may be helpful when it gives a child additional ways to communicate, participate, or manage misunderstandings. It is more difficult to justify when it mainly rewards behaviour that appears more neurotypical. Future work should examine outcomes chosen with autistic people, include children with a wider range of communication profiles, and consider partners and environments as part of pragmatic support.
Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...
O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al.· Zenodo (CERN European Organi...· 465 citations
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6